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ftp://ftp.ai.univie.ac.at (177)

	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-17.ps.Z, 19900831 The Challenge of Deep Models, Inference Structures, and Abstract Tasks Werner Horn Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, Freyung 6, A-1010 Vienna, and Austrian Research Institute for Artificial Intelligence, Vienna. email: werner@ai.univie.ac.at August 31,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-16.ps.Z, 19910716 Kausale Modelle bei entscheidungsunterst utzenden Systemen in der Medizin Werner Horn Institut fur Medizinische Kybernetik und Artificial Intelligence, Universitat Wien, Freyung 6, A-1010 Wien, und Osterreichisches Forschungsinstitut fur Artificial Intelligence, Wien E-mail: werner@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-02.ps.Z, 19920401 Second generation knowledge acquisition methods and their application to medicine Nada Lavra<=ca and Igor Mozeti<=cb aJo<=zef Stefan Institute, Jamova 39, 61000 Ljubljana, Slovenia e-mail: nada.lavrac@ijs.ac.mail.yu bAustrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-19.ps.Z, 19920401 Improving Diagnostic Efficiency in kardio: Abstractions, Constraint Propagation, and Model Compilation1 Igor Mozeti<=c and Bernhard Pfahringer Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria e-mail: (igor,bernhard)@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-26.ps.Z, 19920603 A Polynomial-Time Algorithm for Model-Based Diagnosis Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Austria igor@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-02.ps.Z, 19920623 Integrating Numerical and Qualitative Models within Constraint Logic Programming1 Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria igor@ai-vie.uucp Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-17.ps.Z, 19920623 Model-Based Analogue Circuit Diagnosis with CLP(<) Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and Artificial Intelligence
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-03.ps.Z, 19920623 Hierarchical Model-Based Diagnosis Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna, Austria igor@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-16.ps.Z, 19920623 Extending Explanation-Based Generalization by Abstraction Operators Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria igor@ai-vie.uucp Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-13.ps.Z, 19920623 Model-Based Diagnosis with Constraint Logic Programs Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and Artificial
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-10.ps.Z, 19920626 Reduction of Diagnostic Complexity through Model Abstractions Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Austria igor@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-18.ps.Z, 19920721 Model-Based Diagnosis: An Overview Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Austria igor@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-09.ps.Z, 19920807 Argument Structure and Case Assignment in German Wolfgang Heinz Johannes Matiasek Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Email: fwolfgang, johng@ai.univie.ac.at 1 Introduction Case is a means of linking items in utterances. Its realization varies both
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-08.ps.Z, 19920807 Comparison in NLIs \| Habitability and Database Reality Wolfgang Heinz, Johannes Matiasek, Harald Trost, Ernst Buchberger Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Wien, Austria Email: john@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-07.ps.Z, 19920807 Structure Sharing Unification of Disjunctive Feature Descriptions Johannes Matiasek Austrian Research Institute Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria john@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-01.ps.Z, 19920923 Developing a Model for the Representation and Function of Discourse Structure in a Natural Language Consulting System1 Elizabeth Garner 1992 1This research has been sponsored by the Austrian Fonds zur Forderung der wissenschaftlichen Forschung, Grant No. P7986-PHY. Garner \| REPRESENTATION AND FUNCTION
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-28.ps.Z, 19921118 10 has to adjust dosages at an extreme health condition of a neonate. An important advantage is the elimination
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-36.ps.Z, 19921216 The Science of a New AI" Erich Prem Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Email erich@ai.univie.ac.at December 15, 1992
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-03.ps.Z, 19930121 Knowledge EXplorer: a Tool for Automated Knowledge Acquisition from Data Petr Berka1 Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria e-mail: berka@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-02.ps.Z, 19930128 CLP based HPSG Parsing Johannes Matiasek Austrian Research Institute Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria john@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-37.ps.Z, 19930128 A CLP Schema to Integrate Specialized Solvers and its Application to Natural Language Processing Bernhard Pfahringer, Johannes Matiasek Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Tel: +43-1-533 61 12 bernhard@ai.univie.ac.at, john@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-10.ps.Z, 19930129 A Comparison of Three Different Methods for Acquiring Knowledge about Virological Hepatitis Tests1 Petr Berka2 Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria e-mail: berka@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-29.ps.Z, 19930201 Mechanisms For Handling Sequences With Neural Networks Claudia Ulbricht, Georg Dorffner Austrian Research Institute for Artificial Intelligence, Schottengasse 3, Vienna, Austria1 St ephane Canu Lyonnaise des Eaux Dumez, Rue du Fonds Pernant, Compi egne, France Didier Guillemyn Babbage Institute for
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-09.ps.Z, 19930222 The Role of Qualitative Knowledge in Machine Learning Johannes Furnkranz juffi@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria November 31, 1992
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-14.ps.Z, 19930223 Understanding and Self-Organization What can the speaking lion tell us Erich Prem Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-33.ps.Z, 19930224 Das Internet als Docuverse fur alle BenutzerInnen paolo petta Osterreichisches Forschungsinstitut fur Artificial Intelligence1 Schottengasse 3, A-1010 Wien paolo@ai.univie.ac.at September 1992 (Aktualisierung Janner 1993) 1gefordert vom Osterreichischen Bundesministerium fur Wissenschaft und
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-03.ps.Z, 19930310 Controlling the Complexity in Model-Based Diagnosis Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria igor@ai.univie.ac.at Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and
	ftp://ftp.ai.univie.ac.at/papers/abstracts-91.ps.Z, 19930323 OEFAI Reports 1991 1 OEFAI-TR-91-1 Artificial Intelligence-Forschung in Osterreich: Projekte, Personen, Institutionen, Publikationen Robert Trappl, Johannes Matiasek, Gerda Helscher Mittels einer Fragebogenerhebung wurde ein Ueberblick ueber die oesterreichische Artificial
	ftp://ftp.ai.univie.ac.at/papers/abstracts-90.ps.Z, 19930323 OEFAI Reports 1990 1 OEFAI-TR-90-1 Extended version of a paper that appeared in Proc. European Working Session on Learning, EWSL-89, Montpellier, France, 1989, Pitman. Incremental Knowledge-Intensive Learning: A Case Study Based on an Extension to Bergadano & Giordana's Integrated Learning Strategy
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-17.ps.Z, 19930414 Connectionism, Symbol Grounding, and Autonomous Agents Georg Dorffner, Erich Prem Austrian Research Institue for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria and Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna email: fgeorg, erichg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-18.ps.Z, 19930518 14 Hayes-Roth B., Washington R., Ash D., Hewett M., Collinot A., Vina A., Seiver A.: Guardian: A Prototype
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-19.ps.Z, 19930604 Interval arithmetic with CLP(<) Igor Mozeti<=c & Christian Holzbaur Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Austria (igor, christian)@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-16.ps.Z, 19930622 Avoiding noise fitting in a Foil-like learning algorithm Johannes Furnkranz juffi@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-24.ps.Z, 19930903 Formal Neural Network Specification and its Implications on Standardization Georg Dorffner, Herbert Wiklicky, Erich Prem Austrian Research Institue for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria georg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-21.ps.Z, 19930914 Diagnosing Analog Circuits Designed-for-Testability by Using CLP(<) Igor Mozeti<=c Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria email: igor@ai.univie.ac.at Franc Novak Jo<=zef Stefan Institute Jamova 39, 61111 Ljubljana, Slovenia email:
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-25.ps.Z, 19930921 1 A Unified Framework for MLPs and RBFNs: Introducing Conic Section Function Networks Georg Dorffner Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna and Austrian Research Institute for Artificial Intelligence georg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-23.ps.Z, 19930921 1 On Using Feedforward Neural Networks for Clinical Diagnostic Tasks Georg Dorffner Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna, Austria Tel: +43 1 53532810, Fax: +43 1 5320652, email: georg@ai.univie.ac.at and Dept. of Medical Cybernetics and Artificial
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-26.ps.Z, 19931004 A CLP Based Approach to HPSG Johannes Matiasek and Wolfgang Heinz Austrian Research Institute Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria fjohn,wolfgangg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-28.ps.Z, 19931018 Fossil: A robust relational learner Johannes Furnkranz juffi@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-29.ps.Z, 19931027 Controlling Constructive Induction in CiPF: An MDL Approach Bernhard Pfahringer bernhard@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-02.ps.Z, 19940110 Morphology with a Null-Interface Harald Trost and Johannes Matiasek Austrian Research Institute for Artificial Intelligence Vienna, Austria email: harald@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-03.ps.Z, 19940111 Top-Down Pruning in Relational Learning Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria juffi@ai.univie.ac.at Content Areas: Machine Learning, Inductive Logic Programming, Pruning
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-21.ps.Z, 19940201 Comparisons in NLIs: Datenbank-DIALOG and the Relevance of Habitability Harald Trost Deutsches Forschungszentrum fur Kunstliche Intelligenz GmbH Stuhlsatzenhausweg 3 D-6600 Saarbrucken, Germany Wolfgang Heinz, Johannes Matiasek, Ernst Buchberger Osterreichisches Forschungsinstitut fur Artificial
	ftp://ftp.ai.univie.ac.at/papers/abstracts-93.ps.Z, 19940201 OEFAI Reports 1993 1 OEFAI-TR-93-1 Artificial Intelligence-Forschung in Osterreich 1992: 133 Projekte, 237 Personen, 37 Institutionen, 963 Publikationen Robert Trappl, Johannes Matiasek, Gerda Helscher Mittels einer Fragebogenerhebung wurde als Followup der ersten Untersuchung aus dem Jahr 1990 ein
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-09.ps.Z, 19940201 Incremental Reduced Error Pruning Johannes Furnkranz1 and Gerhard Widmer1;2 1Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria 2Department of Medical Cybernetics and Artificial Intelligence University of Vienna E-mail: @ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-08.ps.Z, 19940202 in: AAAI 1994 Spring Symposium: Artificial Intelligence in Medicine: Interpreting Clinical Data, AAAI Press, Menlo Park, 1994 Intensive Care Monitoring and Therapy Planning for Newborns Silvia Miksch1), Werner Horn1,2), Christian Popow3), Franz Paky4) 1) Austrian Research Institute for Artificial
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-04.ps.Z, 19940202 12 Rutledge G., Thomsen G., Beinlich I., Farr B., Sheiner L., Fagan L.M.: Combining QualitaOE
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-89-04.ps.Z, 19940203 Datenbank-DIALOG: How to communicate with your database in German (and enjoy it) Harald Trost, Ernst Buchberger Austrian Research Institute for Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-07.ps.Z, 19940203 Integrating Stress and Intonation into a Concept-to-Speech System Georg Dorffner, Ernst Buchberger Austrian Research Institute for Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria and University of Vienna Markus Kommenda Institut f. Nachrichtentechnik und Hochfrequenztechnik
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-06.ps.Z, 19940203 The Hidden Treasure Ernst Buchberger Austrian Research Institute for Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-06.ps.Z, 19940203 Automatische Textgenerierung \| Anwendungsgebiete und Zukunftschancen Ernst Buchberger Osterreichisches Forschungsinstitut fur Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-04.ps.Z, 19940203 VIE-DU \| A Second Generation Dialogue System Ernst Buchberger, Elizabeth Garner, Wofgang Heinz, Johannes Matiasek, Bernhard Pfahringer Austrian Research Institute for Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-89-07.ps.Z, 19940203 Datenbank-DIALOG: Kommunikation mit Datenbanken in deutscher Sprache Ernst Buchberger, Harald Trost Osterreichisches Forschungsinstitut fur Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-34.ps.Z, 19940203 Kriterien in der naturlichsprachigen Generierung: Mindestkriterien und damit verbundene Probleme Ernst Buchberger Austrian Research Institute for Artificial Intelligence ( OFAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-24.ps.Z, 19940317 DMCAI CLP 1.2 This Manual documents a variant of SICStus Prolog version 2.1, featuring extensible unification Edition 1.3 January 1994 by Christian Holzbaur Copyright c 1992,1993,1994 DMCAI Department of Medical Cybernetics and Artificial Intelligence University of Vienna Freyung 6 A-1010 Vienna,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-27.ps.Z, 19940317 Attributed Equivalence Classes in Prolog Implementations of CLP Languages Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and Artificial Intelligence University of Vienna Freyung 6, A-1010 Vienna, Austria email: christian@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-09.ps.Z, 19940317 Integration of Extended Unification into a Prolog Interpreter Christian Holzbaur (email: christian@ai-vie.uucp) Department of Medical Cybernetics and AI University of Vienna, and Austrian Research Institute for Artificial Intelligence Freyung 6, A-1010 Vienna, Austria TR-90-09
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-11.ps.Z, 19940317 Realization of Forward Checking in Logic Programming via Extended Unification Christian Holzbaur (email: christian@ai-vie.uucp) Department of Medical Cybernetics and AI University of Vienna, and Austrian Research Institute for Artificial Intelligence Freyung 6, A-1010 Vienna, Austria TR-90-11
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-07.ps.Z, 19940317 A specialized, incremental solved form algorithm for systems of linear inequalities Christian Holzbaur Austrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and Artificial Intelligence University of Vienna Freyung 6, A-1010 Vienna, Austria email:
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-11.ps.Z, 19940418 Robust Constructive Induction Bernhard Pfahringer Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: bernhard@ai.univie.ac.at Category: Paper Area: Machine Learning Keywords: Minimum Description Length, Constructive Induction, Noise.
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-10.ps.Z, 19940426 Handling Sequences with a Competitive Recurrent Network Claudia Ulbricht Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-05.ps.Z, 19940427 Computing Minimal Diagnoses with Critical Set Algorithms Igor Mozeti<=c Department of Information Systems Technical University of Vienna and (mailing address) Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna Austria Email: igor@ai.univie.ac.at Fax: (+43 1) 532 0652
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-06.ps.Z, 19940503 fi ffiffffi ff<= >= fiff<= <=ff fflfl ffffi <= ffl ss ss fl ffi ffl fi >= ff fi fi ffi <=fffflffi OE(!ae(AE "AE$OE( OE'ae($OE% &O flOEAE"oae# -oeOE(%OE"o) ae%AE ("O"o"ae# ff%OE##" OE%oOE >=%",OE()"- &O "OE%%ae ae%AE +)("ae% OE)OEae(o! ff%)"+OE O&( ("O"o"ae# ff%OE##" OE%oOE fi>= O >=ffio OE O
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-01.ps.Z, 19940503 Combining Robustness and Flexibility in Learning Drifting Concepts Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria e-mail: gerhard@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-35.ps.Z, 19940503 Effective Learning in Dynamic Environments by Explicit Context Tracking Gerhard Widmer Dept. of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria e-mail: gerhard@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-20.ps.Z, 19940503 ss fiffflfi fi >=ffl fi <= ffi ffiffl fi fi <= ffl fl ffl >=ffl fflOE+!ae+AE "AE&OE+ fiOE)ae+-&OE'- (O OEAE"oae% ff2oeOE+'OE-"o, ae'AE +-"O"o"ae% '-OE%%" OE'oOE '"/OE+,"-2 (O "OE''ae ae'AE .,-+"ae' OE,OEae+o! ',-"-.-OE O(+ +-"O"o"ae% '-OE%%" OE'oOE "OE''ae fl &ae"% OE+!ae+AE ae" /"OE ..o) >=!OE
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-16.ps.Z, 19940503 ff OEAEss flAE>=ffl ss flo fi >= AE ff floe >= oess !fl ae o fl ae ss >= fi<= OE flAEss ss " +8.'8* $/3+8 $+84+8 ss584 +84.'8 OE'-+2+ >=+6'8:3+4: 5, AE+/)'2 <= (+84+:/)9 '4 8:/,/)/'2 ae4:+22/-+4)+ "4/<+89/: 5, #/+44' 8+ ;4- fi ff ff #/+44' '4* ;9:8/'4 O+9+'8). ae49:/:;:+ ,58 8:/,/)/'2 ae4:+22/-+4)+
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-89-03.ps.Z, 19940503 ffl flffl<= ffi flfi ff fl fi fi ff fl fl <= ffl ff ff fi ff fl ffl fl ss ffi>= fl ffl fl ss ffi>= <= <= !O OE oe fi<=O<= OE oeO ! <= >=oOE OE >= ss oe <=ssss <=oe <= fl o <=oe OO<= ffl <=oeoe !O OE oe <=AE OE ae<=oe o>= ff<= ss # <=OEoe<= O oe OE >= ss oe <=ssss <=oe <= ffioe "<=OEO # o>= ffl <=oeoe
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-06.ps.Z, 19940503 The Synergy of Music Theory and AI: Learning Multi-Level Expressive Interpretation Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, AUSTRIA Tel: +43 - 1 -
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-05.ps.Z, 19940503 Learning Flexible Concepts from Streams of Examples: FLORA2 Gerhard WIDMER, Dept. of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria Miroslav KUBAT, Computer Center, Brno Technical
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-20.ps.Z, 19940503 1 ff ffl fl ffiff ffl ffl fi ffl ss<=>=ff ffl ff>=ffi >= ffl ff>= ff%#$"o<=O # <=" oe fflO#$o$%$ ss " ff"$osso o<=AE fflO$ AEAEoae O <=O fl !<="$OE O$ ss o <=AE fi'>= "O $o # <=O ff"$osso o<=AE fflO$ AEAEoae O Oo& "#o$' ss o OO<= ffi" '%Oae ff o OO<= ff%#$"o<= ae "oe<=" <=o %Oo&o <= <=$ 3+- ..$1 $)/
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-21.ps.Z, 19940503 <=>= >= fflffi>= >=ffi fi fi fi >=ffi fffifflfflffi fl ff >=fifflfflffiflfi >= <=ffi ffl fi ffi fl ffi<= ff<=fl fl ffi<= ff)'(& # <=o'o &aeO #'( ()(o AE$& ff&( AE ae ! #(o!! OEo#aeo #oe flo% &("o#( $AE ooe ae ! fi+sso&#o( ae' #oe ff&( AE ae ! #(o!! OEo#aeo >=# *o&' (+ $AE o## ffl&o+)#OE ff o## ff)'(&
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-13.ps.Z, 19940503 CN2-MCI: A two-step method for constructive induction Stefan Kramer di stefan@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria March 8, 1994
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-08.ps.Z, 19940503 Plausible Explanations and Instance Based Learning in Mixed Symbolic/Numeric Domains Gerhard Widmer Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A 1010 Vienna, Austria e mail:
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-10.ps.Z, 19940504 Multi-recurrent Networks for Traffic Forecasting Claudia Ulbricht Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-16.ps.Z, 19940504 A Comparison of Pruning Methods for Relational Concept Learning Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: juffi@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-21.ps.Z, 19940509 New AI: Naturalness Revealed in the Study of Artificial Intelligence Erich Prem The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria email erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/abstracts-92.ps.Z, 19940516 OEFAI Reports 1992 1 OEFAI-TR-92-1 Extended version of a paper in Proc. KONVENS-92 (G. Goerz, Ed.), Springer-Verlag, 1992. Developing a Model for the Representation and Function of Discourse Structure in a Natural Language Consulting System Elizabeth J. Garner Discourse structure is concerned with how
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-11.ps.Z, 19940516 55 UNSUPERVISED LEARNING OF SIMPLE SPEECH PRODUCTION BASED ON SOFT COMPETITIVE LEARNING Georg Dorffner, Thomas Schonauer Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna, Freyung 6/2, A-1010 Vienna, Austria and Austrian Research Institute for Artificial Intelligence
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-30.ps.Z, 19940516 Words, Symbols, and Symbol Grounding Georg Dorffner, Erich Prem, Harald Trost Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna and Austrian Research Institute for Artificial Intelligence
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-93-12.ps.Z, 19940516 Experiences with Neural Networks as a Diagnostic Tool in Medical Image Processing Georg Dorffner Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna Erich Prem, Markus Mackinger, Stefan Kundrat, Paolo Petta Austrian Research Institue for Artificial Intelligence Gerold Porenta,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-17.ps.Z, 19940524 Constraint Logic Programming for Structure-Based Reasoning about Dynamic Physical System Yousri El Fattah Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Phone: +43-1-5336112 Fax: +43-1-5320652 Email: yousri@ai.univie.ac.at May 17, 1994
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-19.ps.Z, 19940530 Symbol Grounding Revisited Erich Prem The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Tel. +43 1 5336112, FAX +43 1 5320652 erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-20.ps.Z, 19940531 Symbol Grounding and Transcendental Logic Erich Prem The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Tel. +43 1 5336112, FAX +43 1 5320652 erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-23.ps.Z, 19940613 fl<= ffl ffffifflfl fi >= ffl flffl fi ff ffl <= ffl fflffl fi fi flffl<= ffl fi ffl fi flAE&(O ff&(OEOE%AE( +)(!ss% <=AE)AEss(oe ffl%)!+AE OE&( (!OE!oe!ss# ffl%AE##!OAE%oeAE >=oe &*AE%Oss))AE 0 !AE%%ss +)(!ss OAE&(O ss! +%!,!AE ssoe ss* fi(%)* AE!OAEae ffiAE!%. &##AE( ff 0 >= /#AE% +)(!ss
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-24.ps.Z, 19940613 $73$-#$# 5$12(.- .% 3'$ /4!+(" 3(.- (-fi AE (, >=1 -$-' 42 OE(22$-2"' %3+("'$ ae"'1(%3$-1$('$ #$1 OE(22$-2"' %3+("'$- -#$2 #$,($ %@1 < ae/1(-&$1 AE$1+ & OE($- ffff ffi AEAE aeAE fflAE oOE fl!AEOE ss ae o ffaeOE aeAE Oss " ae ffifflAE #aeae ae AE fflAE AEoe OE ae AE #aeae ae ss%'0%AE %&-O$
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-22.ps.Z, 19940613 Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps Georg Dorffner, Christian Stocklmayer Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna; Freyung 6/2, A-1010 Vienna, Austria and Austrian Research Institute for Artificial
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-38.ps.Z, 19940613 ffOE >= <= ffiae ff>=fl ffssoeO ffi ffissffssfi ffiae >= oe ffi fi o ae oe >= ffl ssfl ffiff>= >= >=>=ffifioe >= aeoe flffi oe ffl<=ffifi>= OEfl ss oe<=ffiae fi ffl ssoe<= <=ffi<=fi>= oe >=>=<= ffi <=AE ssae<=oeOE ff<= fi fi ffl oaeoess<=fi ae fissffi aeoe<=oeooe ss ssoe<= <=ffi<=fi>= oe >=>=<= ffi
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-12.ps.Z, 19940613 OE fflssO ff<=fflO ssffl fflfl ff ae>= ss oe >= ffloe oe AEffl fflffss &03( 03''/&3 oO oe ffi #ffl AEae O OE ffiae AEO ffi aeO <= ae fiae ! AEOE O# oe fl aeaeffi ffiae OEOAE ffiae ff OE ffiAE >= aeOEO O O oeAE AEO ffi aeO <= ae fiaeoessfffloe ae/ 5)4 1"1&3 " /07&- .&$)"/4. '03 <40'5 $0.1&557&
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-91-07.ps.Z, 19940613 AEfifl <=fflfl>= ffloe<= <=ae ss floeossfl>= fl ofl ffss ffl aeae<= ss ss ss ",/ +# "!& OE( 3O"-"/& . OE! ffl<= ae&1"-.&/3 +# oe&"OE ffl0./-&OE OE! ffl0./-&OE* "."OE- % <=./&/0/" #+- ffl-/&#& &OE( <=/"((&$"* " ffiaeoessflffloe <=* /%&. ,OE,"- 2" 2OE/ /+ OE-$0" /%OE/ OE 5-OE!& OE((3 +" /&+&./
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-25.ps.Z, 19940627 A CLP Approach to Detection and Identification of Control System Component Failures Yousri El Fattah Christian Holzbaur Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Phone: +43-1-5336112 Fax: +43-1-5320652 Email: fyousri,christiang@ai.univie.ac.at June 24,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-26.ps.Z, 19940920 Pruning Methods for Rule Learning Algorithms Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: juffi@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-92-04.ps.Z, 19941012 Concept Support as a Method for Programming Neural Networks with Symbolic Knowledge Erich Prem, Markus Mackinger, Georg Dorffner Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria, Email erich@ai.univie.ac.at G.Porenta, H.Sochor Kardiologische
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-27.ps.Z, 19941024 Adapting to Drift in Continuous Domains Miroslav KUBAT Institute for Systems Sciences, Johannes Kepler University A-4040 Linz, Austria Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence University of Vienna and Austrian Research Institute for Artificial Intelligence,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-14.ps.Z, 19941024 Learning in the Presence of Concept Drift and Hidden Contexts Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence, University of Vienna and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria Miroslav KUBAT Ludwig-Boltzmann Institute
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-28.ps.Z, 19941121 Dissertation Efficient Pruning Methods for Relational Learning ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Wissenschaften eingereicht an der Technisch-Naturwissenschaftlichen Fakultat der Technischen Universitat Wien von Johannes Furnkranz Austrian
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-29.ps.Z, 19941121 A New MDL Measure for Robust Rule Induction Bernhard Pfahringer Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: bernhard@ai.univie.ac.at Area: Inductive Learning Keywords: Minimum Description Length, Pruning, Noise.
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-07.ps.Z, 19950113 Dynamic Symbol Grounding, State Construction and the Problem of Teleology Erich Prem erich@ai.univie.ac.at The Austrian Research Institut for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Tel. +43 1 5336112, FAX +43 1 5320652 January 1995
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-08.ps.Z, 19950113 Grounding and the Entailment Structure in Robots and Artificial Life Erich Prem erich@ai.univie.ac.at The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Tel. +43 1 5336112, FAX +43 1 5336520 January 1995
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-06.ps.Z, 19950118 <= ffl <= fl fi fl ffl fl >= <=>= <= 02&30 >=#6#0 oe&# 3120'O, ss#1#O0!& ,12'232# $-0 02'$'!'O ,2#*'%#,!# ae!&-22#,%O11# ff o'#,,O 3120'O O02&30 O' 3,'4'# O! O2 ffi >=flffl oe&'1 ',4#12'%O2'-, -, 0#O2'-,1&'.1 #25##, 2&# $'#" -$ O02'$'!'O ,#30O* ,#25-0)1 !-,,#!2'-,'1+ O," 12O2'12'!1 12O021 5'2& O
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-02.ps.Z, 19950315 Compression-Based Feature Subset Selection Bernhard Pfahringer Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: bernhard@ai.univie.ac.at Phone: (+43 1) 533-6112 Fax: (+43 1) 532-0652 Keywords: Machine Learning, Inductive Learning, Minimum Description
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-10.ps.Z, 19950315 Compression-Based Discretization of Continuous Attributes Bernhard Pfahringer1 Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna Austria E-mail: bernhard@ai.univie.ac.at Phone: (+43 1) 533-6112 Fax: (+43 1) 532-0652 Keywords: Inductive Learning, Discretization,
	ftp://ftp.ai.univie.ac.at/papers/Thesis/prem_phd2.ps.Z, 19950316 3.4. ZUSAMMENFASSUNG UND BEURTEILUNG 61 ad 1 Unter den moglichen Kandidaten fur Bedeutungstheorien finden sich vor allem: 1. Prototypentheorie der Konzeptbildung, Symbole reprasentieren diese Prototypen 2. Merkmalstheorie, Symbole reprasentieren Beschreibungen durch (konnektionistisch extrahierte)
	ftp://ftp.ai.univie.ac.at/papers/Thesis/prem_phd3.ps.Z, 19950316 5.3. EIN ZUSTANDS UBERGANGSMODELL 116 Abbildung 5.20: Units der Kohonenkarte die auf Muster reagieren. Abbildung 5.21: Units der Kohonenkarte die auf Muster reagieren. Es ist naturlich auch moglich, den Symbollayer auf eine andere Art zu trainieren; etwa, indem zwischen den beiden gleichen Inputs
	ftp://ftp.ai.univie.ac.at/papers/Thesis/prem_phd4.ps.Z, 19950316 5.5. LERNEN ALS VORHERSAGE 124 dig uber den Modellcharakter dieses internen Modells etwas sagen zu konnen. Das Verhalten lasst sich namlich nur dann richtig vorhersagen, wenn bekannt ist, welche Entscheidung aufgrund des Modells getroffen wird, d.h. nicht mehr bloss aufgrund des Inputs fur das
	ftp://ftp.ai.univie.ac.at/papers/Thesis/prem_phd1.ps.Z, 19950316 Dissertation Symbol Grounding Die Bedeutung der Verankerung von Symbolen in reichhaltiger sensorischer Erfahrung mittels neuronaler Netzwerke ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Wissenschaften eingereicht an der Technisch-Naturwissenschaftlichen
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-03.ps.Z, 19950320 A Tight Integration of Pruning and Learning Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria E-mail: juffi@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-14.ps.Z, 19950320 Implementing HPSG in FUF An Experiment in the Reusability of Linguistic Resources Johannes Matiasek and Harald Trost Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Email: fjohn,haraldg@ai.univie.ac.at Keywords: Natural Language Understanding, Text
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-15.ps.Z, 19950324 Requirements on Linguistic Knowledge Sources for Multilingual Generation Johannes Matiasek and Harald Trost Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Email: fjohn,haraldg@ai.univie.ac.at 1 Introduction Multilingual generation from a single input
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-31.ps.Z, 19950403 in: Proceedings of 5th Conference on Artificial Intelligence in Medicine Europe (AIME 95), June 25 - 28, 1995, Pavia, Italy Therapy Planning Using Qualitative Trend Descriptions Silvia Miksch 1, Werner Horn 1,2, Christian Popow 3, Franz Paky 4 1 Austrian Research Institute for Artificial Intelligence (
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-32.ps.Z, 19950404 The Possible Contribution of AI to the Avoidance of Crises and Wars: Using CBR Methods with the KOSIMO Data Base of Conflicts Technical Report OEFAI{94{32 Johann Petrak, Robert Trappl, and Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien E-mail:
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-33.ps.Z, 19950406 Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome Johannes Furnkranz, Johann Petrak and Robert Trappl Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien E-mail: fjuffi,johann,robertg@ai.univie.ac.at Jacob
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-94-34.ps.Z, 19950410 VIE-CBR Vienna Case-Based Reasoning Tool Version 1.0 Programmer's and Installation Manual OEFAI Report 94{34 Johann Petrak Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien E-mail: johann@ai.univie.ac.at Contents 1 Overview 2 2 Program Documentation 3 2.1 Overall
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-05.ps.Z, 19950511 Shift-Scheduling with the "Projections First Strategy" Johannes G rtner Abteilung f r CSCW, Institut f r Gestaltungs- und Wirkungsforschung, Vienna Technical University A-1040 Vienna, AUSTRIA Phone: ++43-1-58 801 - 4419 Fax: ++43-1-504 24 78 E-mail: jgaertne@email.tuwien.ac.at Silvia Miksch Austrian
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-04.ps.Z, 19950511 Automated Data Validation and Repair Based on Temporal Ontologies Silvia Miksch1), Werner Horn1,2), Christian Popow3), Franz Paky4) 1)Austrian Research Institute for Artificial Intelligence ( FAI) Schottengasse 3, A-1010 Vienna, Austria phone: ++43 - 1 - 53 53 281 - 0 fax: ++ 43 -1 - 53 20 652 email:
	ftp://ftp.ai.univie.ac.at/papers/Thesis/pfahringer_phd.ps.Z, 19950524 Dissertation Practical Uses of the Minimum Description Length Principle in Inductive Learning ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Wissenschaften eingereicht an der Technischen Universitat Wien Technisch-Naturwissenschaftliche Fakultat von
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-19.ps.Z, 19950629 Classification through Hyperplane Fitting with Feedforward Neural Networks Georg Dorffner Austrian Research Institute for Artificial Intelligence Neural Networks Group Schottengasse 3, A-1210 Vienna, Austria georg@ai.univie.ac.at and Dept. of Medical Cybernetics and Artificial Intelligence University of
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-21.ps.Z, 19950629 appears in: Proceedings of the International Symposium on Intelligent Data Analysis (IDA-95), Baden-Baden, Germany, August 17th-19th, 1995 FACT-FINDING COMMITTEE WORK: DATA ANALYSIS BEYOND SINGLE SOURCES Silvia Miksch Johannes G rtner Austrian Research Institute for Abteilung f r CSCW Artificial
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-25.ps.Z, 19950629 Constraint Logic Programming for Structure-Based Reasoning about Dynamic Physical Systems Yousri El Fattah Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Phone: (+43-1)5336112 Fax: +43-1-5320652 yousri@ai.univie.ac.at June 14, 1995 Keywords: constraint
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-23.ps.Z, 19950629 1 ffl >= ss ffloss ss<= ssffl "AE AE ae !oeo AEAE fl ss<= ss ff fflss AEOEAE ff o aeo fflss AE ae fi >=O fflssss AE #flo$O o o>=fflo ffi o ",OE.0)"0 +# "!& OE( 5O"."0& / OE! .0&#& &OE( <=0"((&$"* " oe&2"./&05 +# o&"OE OE! 1/0.&OE* "/"OE. % <=/0&010" #+. .0&#& &OE( <=0"((&$"* " ss %+00"*$OE//"
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-20.ps.Z, 19950629 A generalized view on learning in feedforward neural networks Georg Dorffner Austrian Research Institute for Artificial Intelligence Neural Network Group and Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-22.ps.Z, 19950629 Using two-level morphology as a generator-synthesizer interface in concept-to-speech generation Georg Niklfeld, Hannes Pirker, Harald Trost Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Email: fgeorgn, hannes, haraldg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/Thesis/petrak_dt.ps.Z, 19950915 Diplomarbeit VIE-CBR2 An Object-Oriented Case-Based Learning System Ausgefuhrt am Institut fur Medizinische Kybernetik und Artificial Intelligence der Universitat Wien unter Anleitung von o.Prof. Dr. Robert Trappl und Univ.Doz. Dr. Gerhard Widmer von Johann Petrak Stuwerstr. 37/21 A-1020 Wien Wien,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-27.ps.Z, 19950919 Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of Musical Expression Gerhard Widmer Dept. of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010
	ftp://ftp.ai.univie.ac.at/papers/abstracts-94.ps.Z, 19950919 OEFAI Reports 1994 1 OEFAI-TR-94-1 Proc. 11th European Conf. on Artificial Intelligence, ECAI-94, pp. 468-472, Amsterdam, John Wiley & Sons, 1994. Combining Robustness and Flexibility in Learning Drifting Concepts Gerhard Widmer The paper deals with incremental concept learning from classified examples.
	ftp://ftp.ai.univie.ac.at/papers/Thesis/petta_phd.ps.Z, 19950928 Dissertation Model-Supported Interpretation of Cedars-Sinai 201Tl SPECT Polar Maps ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Wissenschaften eingereicht an der Technisch-Naturwissenschaftlichen Fakultat der Technischen Universitat Wien von Dipl.-Ing.
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-26.ps.Z, 19950928 to appear in: 10th Postgraduate Course in Critical Care Medicine A.P.I.C.E.'95, Springer, 1995 Artificial Intelligence for Decision Support: Needs, Possibilities, and Limitations in ICU Silvia Miksch Austrian Research Institute for Artificial Intelligence ( FAI) Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-09.ps.Z, 19951201 OFAI clp(Q,R) Manual This Manual documents a Prolog implementation of clp(Q,R), based on SICStus featuring extensible unification via attributed variables. Edition 1.3.3 December 1995 Christian Holzbaur christian@ai.univie.ac.at Copyright c 1992,1993,1994,1995 OFAI Austrian Research Institute for
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-29.ps.Z, 19960112 The Generation of Idiomatic and Collocational Expressions Johannes Matiasek Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria Email: john@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-01.ps.Z, 19960112 Recognition and Exploitation of Contextual Clues via Incremental Meta-Learning (Extended Version) Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-32.ps.Z, 19960221 Predicate Invention: A Comprehensive View 1 Stefan Kramer Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria E-mail: stefan@ai.univie.ac.at Keywords: Predicate Invention, Constructive Induction, Inductive Learning, Inductive Logic Programming
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-03.ps.Z, 19960221 Monitoring and Therapy Planning without Effective Data Validation are Ineffective Silvia Miksch1 ), Werner Horn1;2), Gerhilde Egghart2) Christian Popow3), Franz Paky4) 1) Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria 2) Department of Medical Cybernetics
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-04.ps.Z, 19960221 Motivation, Emotion and the Role of Functional Circuits in Autonomous Agent Design Methodology Erich Prem The Austrian Research Institute for Artificial Intelligence erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-05.ps.Z, 19960221 Effective Data Validation of High-Frequency Data: Time-Point-, Time-Interval-, and Trend-Based Methods Werner Horn1;2), Silvia Miksch1 ), Gerhilde Egghart2) Christian Popow3), Franz Paky4) 1) Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria 2) Department of
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-35.ps.Z, 19960221 Structural Regression Trees 1 Stefan Kramer Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria E-mail: stefan@ai.univie.ac.at Keywords: Inductive Learning, Inductive Logic Programming, Regression
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-07.ps.Z, 19960221 Pruning Algorithms for Rule Learning Johannes Furnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria E-mail: juffi@ai.univie.ac.at OEFAI-TR-96-07
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-12.ps.Z, 19960410 Efficient Search for Strong Partial Determinations Stefan Kramer and Bernhard Pfahringer
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-11.ps.Z, 19960418 MACHINE LEARNING IN COMPUTER CHESS: THE NEXT GENERATION Johannes Furnkranz 1 INTRODUCTION Ten years ago the ICCA Journal published an overview of machine learning approaches to computer chess (Skiena 1986). The author's results were rather pessimistic. In particular he concludes that : : : with the
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-10.ps.Z, 19960418 Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases Robert Trappl, Johannes Furnkranz, Johann Petrak Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien Email: frobert,juffi,johanng@ai.univie.ac.at Technical Report
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-16.ps.Z, 19960520 Statistical Evaluation of Neural Network Experiments: Minimum Requirements and Current Practice Arthur Flexer The Austrian Research Institute for Artificial Intelligencey Schottengasse 3, A-1010 Vienna, Austria arthur@ai.univie.ac.at Technical Report oefai-tr-95-16
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-02.ps.Z, 19960520 appears in Proceedings of the Tenth International Workshop for Qualitative Reasoning (QR-96), Stanford Sierra Camp, Fallen Leaf Lake, California. Context-Sensitive and Expectation-Guided Temporal Abstraction of High-Frequency Data Silvia Miksch1)*), Werner Horn1,2), Christian Popow3), Franz Paky4) 1)
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-21.ps.Z, 19960610 Defeasibility in CLP(Q) through Generalized Slack Variables Christian Holzbaury, Francisco Menezesz and Pedro Barahonaz yAustrian Research Institute for Artificial Intelligence, and Department of Medical Cybernetics and Artificial Intelligence University of Vienna Freyung 6, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-22.ps.Z, 19960627 Tracking Context Changes through Meta-Learning Gerhard WIDMER Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria Tel: +43{1{53532810, Fax: +43{1{5320652
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-19.ps.Z, 19960627 The Referential Basis of Abduction and Logic Erich Prem erich@ai.univie.ac.at The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria.
	ftp://ftp.ai.univie.ac.at/papers/abstracts-95.ps.Z, 19960627 OEFAI Reports 1995 1 OEFAI-TR-95-01 Artificial Intelligence-Forschung in Osterreich 1994: 152 Projekte, 256 Personen, 43 Institutionen, 1329 Publikationen Robert Trappl, Johannes Matiasek, Gerda Helscher Mittels einer Fragebogenerhebung wurde als Follow-up der ersten Untersuchung aus dem Jahr 1990 und
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-15.ps.Z, 19960730 A Connectionist Model of Categorization and Grounded Word Learning Georg Dorffner, Michael Hentze, Georg Thurner University of Vienna, and Austrian Research Institute for Artificial Intelligence1 This paper reports about ongoing research on a connectionist model of the learning of single words and their
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-17.ps.Z, 19960730 Neural Networks for Time Series Processing Georg Dorffner Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna and Austrian Research Institute for Artificial Intelligence
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-16.ps.Z, 19960730 Categorization in early language acquisition - accounts from a connectionist model Georg Dorffner Dept. of Medical Cybernetics and Artificial Intelligence University of Vienna and Austrian Research Institute for Artificial Intelligence
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-25.ps.Z, 19960930 Separate-and-Conquer Rule Learning Johannes F urnkranz juffi@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria Technical Report OEFAI-TR-96-25
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-14.ps.Z, 19960930 Neue adaptive L osungen zur Kontrolle dynamischer Prozesse durch intelligente Technologien Eine Einf uhrung Erich Prem erich@ai.univie.ac.at Osterreichisches Forschungsinstitut f ur Artificial Intelligence Schottengasse 3, A-1010 Wien Tel.: +43/1/5336112-14 FAX: +43/1/5320652 M arz 1996 Zusammenfassung
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-24.ps.Z, 19960930 Knowledge Discovery in International Conflict Databases Johannes F urnkranz Johann Petrak Robert Trappl Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/abstracts-96.ps.Z, 19960930 OEFAI Reports 1996 1 OEFAI-TR-96-01 Recognition and Exploitation of Contextual Clues via Incremental Meta-Learning Gerhard Widmer Daily experience shows that in the real world, the meaning of many concepts heavily depends on some implicit context, and changes in that context can cause more or less
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-90-15.ps.Z, 19960930 ,+ 0&+$2)OE/ ss"/*0 "&+7 >=OE1&OE0"( oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo 9 9 AEffiss !oeAE oeAE flAE ffiO ae<= ffoeae OE ae<= ffiAE fl AEssOE ae ffi ffffiO AEffi ffiae<= ffi<= oeaeOE O ae<= fi"OEO ss ffiss ffl >= OE ffss<=ffl oe fifflo>=ffloe Ooeo
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-13.ps.Z, 19961127 The Behavior-Based Firm: An Application of Recent AI Concepts to Company Management Erich Prem The Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Wien, Austria erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-23.ps.Z, 19961128 Limitations of self-organizing maps for vector quantization and multidimensional scaling Arthur Flexer The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria and Department of Psychology, University of Vienna Liebiggasse 5, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-01.ps.Z, 19970116 More Efficient Windowing Johannes F urnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria E-mail: juffi@ai.univie.ac.at OEFAI-TR-97-01
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-02.ps.Z, 19970116 Why to Create Personalities for Synthetic Actors Paolo Petta, Robert Trappl Austrian Research Institute for Artificial Intelligence , Vienna, and Department of Medical Cybernetics and Artificial Intelligence, University of Vienna fpaolo, robertg@ai.univie.ac.at 1 Introduction The last decade has seen
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-96-26.ps.Z, 19970116 Equivalent Error Bars For Neural Network Classifiers Trained By Bayesian Inference Peter Sykacek Austrian Research Institute For Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-06.ps.Z, 19970122 Handling Time-Warped Sequences with Neural Networks Claudia Ulbricht Austrian Research Institute for Artificial Intelligence Schottengasse 3, A{1010 Vienna, Austria claudia@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-05.ps.Z, 19970122 Forecasting Fetal Heartbeats with Neural Networks1 Claudia Ulbricht, Georg Dorffner Austrian Research Institute for Artificial Intelligence, Schottengasse 3 and Institute of Medical Cybernetics and Artificial Intelligence, Freyung 6 A{1010 Vienna, Austria claudia@ai.univie.ac.at, georg@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-07.ps.Z, 19970122 Noise-Tolerant Windowing Johannes F urnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria E-mail: juffi@ai.univie.ac.at OEFAI-TR-97-07
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-11.ps.Z, 19970213 The Implications of Embodiment for Cognitive Theories Erich Prem (erich@ai.univie.ac.at) The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria February 13, 1997
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-09.ps.Z, 19970213 Integrating a Knowledge-Based System for Parenteral Nutrition of Neonates into a Clinical Intranet Werner Horn1;2), Christian Popow3), Silvia Miksch4;1), Andreas Seyfang2) 1) Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria 2) Department of Medical
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-08.ps.Z, 19970213
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-12.ps.Z, 19970213 Epistemological Aspects of Embodied Artiocial Intelligence Erich Prem The Austrian Research Institute for Artiocial Intelligence Schottengasse 3, A-1010 Wien, Austria erich@ai.univie.ac.at February 11, 1997 1 From ingenuity . . . The German composer Richard Strauss was once asked about musical ingenuity
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-95-31.ps.Z, 19970415 Compression-Based Evaluation of Partial Determinations Bernhard Pfahringer and Stefan Kramer Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria fbernhard,stefang@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-17.ps.Z, 19970415 Stochastic Propositionalization of Non-Determinate Background Knowledge Stefan Kramer Austrian Research Institute for Artificial Intelligence Schottengasse 3 A-1010 Vienna, Austria stefan@ai.univie.ac.at April 10, 1997
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-18.ps.Z, 19970424 Neural Networks for Recognizing Patterns in Cardiotocograms Claudia Ulbricht, Georg Dorffner Austrian Research Institute for Artificial Intelligence Schottengasse 3, A{1010 Vienna, Austria and Department of Medical Cybernetics and Artificial Intelligence at the University of Vienna Freyung 6, A{1010
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-16.ps.Z, 19970505 Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail Stefan Kramer and Bernhard Pfahringer and Christoph Helma
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-19.ps.Z, 19970509 The World According to a Humanoid Robot Erich Prem The Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien, Austria erich@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-27.ps.Z, 19971111 Learning in Dynamically Changing Domains: Recent Contributions of Machine Learning Gerhard Widmer Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, and Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010 Vienna, Austria
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-28.ps.Z, 19971111 On the Potential of Machine Learning for Music Research Gerhard Widmer Department of Medical Cybernetics and Arti cial Intelligence, University of Vienna, and Austrian Research Institute for Arti cial Intelligence, Schottengasse 3, A-1010 Vienna, Austria gerhard@ai.univie.ac.at Short running title:
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-26.ps.Z, 19971111 Dimensionality Reduction in ILP: A Call To Arms Johannes F urnkranz Austrian Research Institute for Arti cial Intelligence Schottengasse 3, A-1010 Wien, Austria E-mail: juffi@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-25.ps.Z, 19971111 On Effort in AI Research A Description along Two Dimensions Franz-G unter Winkler Austrian Society for Cognitive Science Barichgasse 10/2/10, A-1010 Wien, Austria E-mail:winkler@coams.atc.co.at Johannes F urnkranz Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Wien,
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-98-04.ps.Z, 19980302 From Information Structure to Intonation: A Phonological Interface for Concept-to-Speech Hannes Pirker, Georg Niklfeld, Johannes Matiasek Harald Trost fhannes,georgn,john,haraldg@ai.univie.ac.at Austrian Research Institute for Artificial Intelligence (OFAI) Schotteng. 3, A-1010 Vienna, Austria February
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-98-03.ps.Z, 19980302 1 A SYSTEM OF STYLIZED INTONATION CONTOURS IN GERMAN Hannes PIRKER, Kai ALTER+, Erhard RANK, John MATIASEK, Harald TROST and Gernot KUBIN++ Austrian Research Institute for Artificial Intelligence ( FAI), Schottengasse 3, A 1010 Vienna, Austria. Email: {hannes\|erhard\|john\|harald}@ai.univie.ac.at
	ftp://ftp.ai.univie.ac.at/papers/oefai-tr-98-02.ps.Z, 19980302 1 ON THE SPECIFICATION OF SENTENCE INITIAL F0- PATTERNS IN GERMAN K. Alter and H. Pirker Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-1010 Vienna, Austria e-mail: hannes@ai.univie.ac.at Max-Planck-Institute of Cognitive Neuroscience Inselstr. 22-26, D-04103, Leipzig,