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1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
1993open this document and view contents Cryptographic hardness of distribution-specific learning - M. Kharitonov
open this document and view contents A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features - Scott Cost and Steven Salzberg
open this document and view contents Improving Example-Guided Unfolding - Henrik Boström
open this document and view contents An Application of Machine Learning in the Domain of Loan Analysis - José Ferreira, Joaquim Correia, Thomas Jamet and Ernesto Costa
open this document and view contents Genetic Algorithms for Protein Tertiary Structure Prediction - Steffen Schulze-Kreme
open this document and view contents Algebraic Structure of some Learning Systems - Jean-Gabriel Ganascia
open this document and view contents Learning and robust learning of product distributions - K. Höffgen
open this document and view contents Universal Grammar and Learnability Theory: The Case of Binding Domains and the `Subset Principle' - S. Kapur, B. Lust, W. Harbert and G. Motohardjono
open this document and view contents Extraction of Knowledge from Data Using Constrained Neural Networks - Raqui Kane, Irina Tchoumatchenko and Maurice Milgram
open this document and view contents Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning - Michael Pazzani
open this document and view contents On the power of sigmoid neural networks - J. Kilian and H. Siegelmann
open this document and view contents Learning Strategies Using Decision Lists - Satoshi Kobayashi
open this document and view contents On the Proper Definition of Minimality in Specialization and Theory Revision - Stefan Wrobel
open this document and view contents Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability - James Cussens
open this document and view contents Identifying and Using Patterns in Sequential Data - Philip Laird
open this document and view contents Multistrategy Learning and Theory Revision - Lorenza Saitta, Marco Botta and Filippo Neri
open this document and view contents Funtional Inductive Logic Programming with Queries to the User - Francesco Bergadano and Daniele Gunetti
open this document and view contents Selecting a Classification Method by Cross-Validation - Cullen Schaffer
open this document and view contents More About Learning Elementary Formal Systems - Setsuo Arikawa, Takeshi Shinohara, Satoru Miyano and Ayumi Shinohara
open this document and view contents Competition-Based Induction of Decision Models from Examples - David Perry Greene and Stephen F. Smith
open this document and view contents C4.5: Programs for machine learning - J. R. Quinlan
open this document and view contents Refinement of Rule Sets with JoJo - Dieter Fensel and Markus Wiese
open this document and view contents Predicate Invention in Inductive Data Engineering - Peter A. Flach
open this document and view contents Learning read-once formulas with queries - Dana Angluin, Lisa Hellerstein and Marek Karpinski
open this document and view contents Generalized Unification as Background Knowledge in Learning Logic Programs - Akihiro Yamamoto
open this document and view contents Inductive Resolution - Taisuke Sato and Sumitaka Akiba
open this document and view contents Discovery learning in intelligent tutoring systems - Setsuo Otsuki
open this document and view contents Decision Tree Pruning as a Search in the State Spac - Floriana Esposito, Donato Malerba and Giovanni Semeraro
open this document and view contents On-line learning with linear loss constraints - N. Littlestone and P. Long
open this document and view contents Polynomial-time MAT learning of multilinear logic programs - Kimihito Ito and Akihiro Yamamoto
open this document and view contents Learning Decision Trees using the Fourier Spectrum - E. Kushilevitz and Y. Mansour
open this document and view contents On the complexity of learning strings and sequences - Tao Jiang and Ming Li
open this document and view contents On the query complexity of learning - S. Kannan
open this document and view contents A Reply to Cohen's Book Review of Creating a Memory of Causal Relationships - Michael Pazzani
open this document and view contents Pac-Learning a Restricted Class of Recursive Logic Programs - William Cohen
open this document and view contents On the sample complexity of various learning strategies in the probabilistic PAC learning paradigms - N. Abe
open this document and view contents Erratum - No Author
open this document and view contents On the non-existence of maximal inference degrees for language identification - S. Jain and A. Sharma
open this document and view contents Learning to Control Dynamic Systems with Automatic Quantization - Charles X. Ling and Ralph Buchal
open this document and view contents Parameterized learning complexity - R. Downey, P. Evans and M. Fellows
open this document and view contents Finiteness results for sigmoid - A. Macintyre and E. D. Sontag
open this document and view contents Efficient noise-tolerant learning from statistical queries - M. Kearns
open this document and view contents Directed drift: A new linear threshold algorithm for learning binary weights on-line - Santosh S. Venkatesh
open this document and view contents On probably correct classification of concepts - S. Kulkarni and O. Zeitouni
open this document and view contents Integrating Feature Extraction and Memory Search - Christopher Owens
open this document and view contents Machine Learning: From Theory to Applications; Cooperative Research at Siemens and MIT - S. J. Hanson and W. Remmele and Ronald L. Rivest
open this document and view contents A model of sequence extrapolation - P. Laird, S. R and P. Dunning
open this document and view contents Planning with abstraction based on partial predicate mappings - Yoshiaki Okubo and Makoto Haraguchi
open this document and view contents Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods - Miroslav Kubat, Doris Flotzinger and Gert Pfurtscheller
open this document and view contents Occam's razor for functions - B. K. Natarajan
open this document and view contents Language learning in dependence on the space of hypotheses - S. Lange and T. Zeugmann
open this document and view contents Learning unions of two rectangles in the plane with equivalence queries - Z. Chen
open this document and view contents On polynomial-time probably almost discriminative learnability - K. Yamanishi
open this document and view contents Extracting Refined Rules from Knowledge-Based Neural Networks - Geoffrey G. Towell and Jude W. Shavlik
open this document and view contents On bounded queries and approximation - Richard Chang and William I. Gasarch
open this document and view contents Language Learning with a Bounded Number of Mind Changes - S. Lange and T. Zeugmann
open this document and view contents Rates of convergence for minimum contrast estimators - L. Birge and P. Massart
open this document and view contents Learning with Minimal Number of Queries - S. Matar
open this document and view contents Feature Selection Using Rough Sets Theory - Maciej Modrzejewski
open this document and view contents On Choosing between Experimenting and Thinking when Learning - Ronald L. Rivest and Robert H. Sloan
open this document and view contents Computational Limits on Team Identification of Languages - S. Jain and A. Sharma
open this document and view contents Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory - Lenny Pitt
open this document and view contents On learning in the limit and non-uniform (epsilon , delta )- learning - S. Ben-David and M. Jacovi
open this document and view contents Cryptographic Limitations on Learning One-Clause Logic Programs - William Cohen
open this document and view contents Efficient inductive inference of primitive prologs from positive data - Hiroki Ishizaka, Hiroki Arimura and Takeshi Shinohara
open this document and view contents Uniform Characterizations of Various Kinds of Language Learning - Shyam Kapur
open this document and view contents Reformulation of Explanation by Linear Logic - Toward Logic for Explanation - - Jun Arima and Hajime Sawamura
open this document and view contents A stochastic approach to genetic information processing - Akihiko Konagaya
open this document and view contents A polynomial time algorithm for finding finite unions of tree pattern languages - H. Arimura, T. Shinohara and S. Otsuki
open this document and view contents Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees - Yasubumi Sakakibara
open this document and view contents On the duality between mechanistic learners and what it is they learn - Rīsiņš Freivalds and Carl H. Smith
open this document and view contents From inductive inference to algorithmic learning theory - Rolf Wiehagen
open this document and view contents Generalization under Implication by using Or-Introduction - Peter Idestam-Almquist
open this document and view contents Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time - Andrew W. Moore and Christopher G. Atkeson
open this document and view contents Linear time deterministic learning of k-term DNF - U. Berggren
open this document and view contents Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution - Aleksandar Milosavljević and Jerzy Jurka
open this document and view contents Two Methods for Improving Inductive Logic Programming Systems - Irene Stahl, Birgit Tausend and Rüdiger Wirth
open this document and view contents Towards efficient inductive synthesis of expressions from input/output examples - Jānis Bārzdiņs, Guntis Bārzdiņs, Kalvis Aps\=ıtis and Uğis Sarkans
open this document and view contents General bounds on statistical query learning and PAC learning with noise via hypothesis boosting - Javed A. Aslam and Scott E. Decatur
open this document and view contents IDDD: An Inductive, Domain Dependent Decision Algorithm. - L. Gaga, V. Moustakis, G. Charissis and S. Orphanoudakis
open this document and view contents Notes on the PAC learning of geometric concepts with additional information - Ken-ichiro Kakihara and Hiroshi Imai
open this document and view contents Creating a Memory of Casual Relationships - William W. Cohen
open this document and view contents The VC-Dimensions of Finite Automata with n States - Yoshiyasu Ishigami and Sei'ichi Tani
open this document and view contents Monotonic Versus Non-monotonic Language Learning - S. Lange and T. Zeugmann
open this document and view contents SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts - Gilles Venturini
open this document and view contents FOIL: A Midterm Report - J. Ross Quinlan and R. Mike Cameron-Jones
open this document and view contents Worst-case quadratic loss bounds for a generalization of the Widrow-Hoff rule - N. Cesa-Bianchi, P. Long and M. Warmuth
open this document and view contents Capabilities of probabilistic learners with bounded mind changes - R. Daley and B. Kalyanasundaram
open this document and view contents On the power of inductive inference from good examples - R. Freivalds, E. B. Kinber and R. Wiehagen
open this document and view contents On the average tractability of binary integer programming and the curious transition to perfect generalization in learning majority functions - S. Fang and S. Venkatesh
open this document and view contents Learning in the presence of malicious errors - M. Kearns and M. Li
open this document and view contents Synthesis of UNIX Programs Using Derivational Analogy - Sanjay Bhansali and Mehdi T. Harandi
open this document and view contents How to invent characterizable inference methods for regular languages - Timo Knuutila
open this document and view contents Synthesis of real time acceptors - Amr F. Fahmy and A. W. Biermann
open this document and view contents Properties of Language Classes with Finite Elasticity - Takashi Moriyama and Masako Sato
open this document and view contents Optimal layered learning: a PAC approach to incremental sampling - Stephen Muggleton
open this document and view contents On learning systolic languages - Takashi Yokomori
open this document and view contents Research Note on Decision Lists - Ron Kohavi and Scott Benson
open this document and view contents On the Sample Complexity of Consistent Learning with One-Sided Error - Eiji Takimoto and Akira Maruoka
open this document and view contents Effective Learning in Dynamic Environments by Explicit Context Tracking - Gerhard Widmer and Miroslav Kubat
open this document and view contents Information Filtering: Selection Mechanisms in Learning Systems - Shaul Markovitch and Paul D. Scott
open this document and view contents A Decomposition Based Induction Model for Discovering Concept Clusters from Databases - Ning Zhong and Setsuo Ohsuga
open this document and view contents An Introduction to Kolmogorov Complexity and Its Applications - M. Li and P. Vitányi
open this document and view contents A New Algorithm for Automatic Configuration of Hidden Markov Models - Makoto Iwayama, Nitin Indurkhya and Hiroshi Motoda
open this document and view contents Inductive Logic Programming: Derivations, Successes and Shortcomings - Stephen Muggleton
open this document and view contents Erratum to Discovery - Authorless
open this document and view contents Efficient identification of regular expressions from representative examples - A. Brāzma
open this document and view contents On learning embedded symmetric concepts - A. Blum, P. Chalasani and J. Jackson
open this document and view contents Towards efficient inductive synthesis: Rapid construction of local regularities - J. Barzdins and G. Barzdins
open this document and view contents Learning two-tape automata from queries and counterexamples - T. Yokomori
open this document and view contents Probability is more powerful than team for language identification from positive data - S. Jain and A. Sharma
open this document and view contents Acceleration of learning in binary choice problems - Y. Kabashima and S. Shinomoto
open this document and view contents On-line learning of functions of bounded variation under various sampling schemes - S. E. Posner and S. R. Kulkarni
open this document and view contents Lower bounds for PAC learning with queries - G. Turán
open this document and view contents Algorithmisches Lernen von Funktionen und Sprachen - Thomas Zeugmann
open this document and view contents A note on the query complexity of learning DFA - José L. Balcázar, Josep Díaz, Ricard Gavaldà and Osamu Watanabe
open this document and view contents Choosing a reliable hypothesis - W. Evans, S. Rajagopalan and U. Vazirani
open this document and view contents Learning With Growing Quality - Juris Viksna
open this document and view contents On the role of procrastination for machine learning - R. Freivalds and C. H. Smith
open this document and view contents Learning k-term monotone Boolean formulae - Yoshifumi Sakai and Akira Maruoka
open this document and view contents Learning k mu decision trees on the uniform distribution - T. Hancock
open this document and view contents Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization - Manuela M. Veloso and Jaime G. Carbonell
open this document and view contents Inclusion is Undecidable for Pattern Languages - Tao Jiang, Arto Salomaa, Kai Salomaa and Sheng Yu
open this document and view contents Implementation of heuristic problem solving process including analogical reasoning - Kazuhiro Ueda and Saburo Nagano
open this document and view contents The stastical mechanics of learning a rule - T. L. H. Watkin, A. Rau and M. Biehl
open this document and view contents Efficient learning of typical finite automata from random walks - Y. Freund, M. Kearns, D. Ron, R. Rubinfeld, R. Schapire and L. Sellie
open this document and view contents An Analysis of the WITT Algorithm - Jan L. Talmon, Herco Fonteijn and Peter J. Braspenning
open this document and view contents Learnability of Recursive, Non-determinate Theories: Some Basic Results and Techniques - M. Frazier and C. D. Page
open this document and view contents The minimum consistent DFA problem cannot be approximated within any polynomial - Leonard Pitt and Manfred K. Warmuth
open this document and view contents Learning Theory Toward Genome Informatics - Satoru Miyano
open this document and view contents Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning - Ryszard S. Michalski
open this document and view contents Rate of approximation results motivated by robust neural network learning - C. Darken, M. Donahue, L. Gurvits and E. Sontag
open this document and view contents On the Learnability of Disjunctive Normal Form Formulas and Decision Trees. - H. Aizenstein
open this document and view contents Some improved sample complexity bounds in the probabilistic PAC learning model - Jun-ichi Takeuchi
open this document and view contents Iterative weighted least squares algorithms for neural networks classifiers - Takio Kurita
open this document and view contents Can Complexity Theory Benefit from Learning Theory? - Tibor Hegedüs
open this document and view contents Average case analysis of the clipped Hebb rule for nonoverlapping perceptron networks - M. Golea and M. Marchand
open this document and view contents What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation - Stephanie Forrest and Melanie Mitchell
open this document and view contents A Note on Refinement Operators - Tim Niblett
open this document and view contents Machine Learning: A Multistrategy Approach - Ryszard Michalski and George Tecuci
open this document and view contents Competitive learning by entropy minimization - Ryotaro Kamimura
open this document and view contents Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies - Gheorghe Tecuci
open this document and view contents The Probably Approximately Correct (PAC) and Other Learning Models - D. Haussler and M. K. Warmuth
open this document and view contents Regularization learning of neural networks for generalization - Shotaro Akaho
open this document and view contents Explanation-Based Learning for Diagnosis - Yousri El Fattah and Paul O'Rorke
open this document and view contents On PAC learnability of functional dependencies - Tatsuya Akutsu and Atsuhiro Takasu
open this document and view contents Very Simple Classification Rules Perform Well on Most Commonly Used Datasets - Robert C. Holte
open this document and view contents Induction of Probabilistic Rules Based on Rough Set Theory - Shusaka Tsumoto and Hiroshi Tanaka
open this document and view contents Learning with the Knowledge of an Upper Bound on Program Size - S. Jain and A. Sharma
open this document and view contents Learning Domain Theories using Abstract Beckground Knowledge - Peter Clark and Stan Matwin
open this document and view contents Multi-Agent Learning: Theoretical and Empirical Studies - Robert Daley
open this document and view contents Capabilities of fallible FINite learning - R. Daley, B. Kalyanasundaram and M. Velauthapillai
open this document and view contents Introduction: Cognitive Autonomy in Machine Discovery - Jan M. Żytkow
open this document and view contents Conservativeness and monotonicity for learning algorithms - E. Takimoto and A. Maruoka
open this document and view contents Using Heuristics to Speed up Induction on Continuous-Valued Attributes - G. Seidelmann
open this document and view contents Integrating Models of Knowledge and Machine Learning - Jean-Gabriel Ganascia, J. Thomas and Philippe Laublet
open this document and view contents Learning with restricted focus of attention - S. Ben-David and E. Dichterman
open this document and view contents On-line learning of rectangles in noisy environments - P. Auer
open this document and view contents Unifying Learning Methods by Colored Digraphs - Kenichi Yoshida, Hiroshi Motoda and Nitin Indurkhya
open this document and view contents Genetic Reinforcement Learning for Neurocontrol Problems - D. Whitley, S. Dominic, R. Das and C. W. Anderson
open this document and view contents A Knowledge-Intensive Genetic Algorithm for Supervised Learning - Cezary Z. Janikow
open this document and view contents The Learnability of Recursive Languages in Dependence on the Hypothesis Space - S. Lange and T. Zeugmann
open this document and view contents Thue Systems and DNA - A Learning Algorithm for a Subclass - Rani Siromoney, D. G. Thomas, K. G. Subramanian and V. R. Dare
open this document and view contents Complexity Dimensions and Learnability - Shan-Hwei Nienhuys-Cheng and M. Polman
open this document and view contents Neural Discriminant Analysis - Jorge Ricardo Cuellar and Hans Ulrich Simon
open this document and view contents Active Learning Using Arbitrary Binary Valued Queries - S. R. Kulkarni, S. K. Mitter and J. N. Tsitsiklis
open this document and view contents Statistical queries and faulty PAC oracles - S. E. Decatur
open this document and view contents Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning - Raymond J. Mooney
open this document and view contents A Perceptual Criterion for Visually Controlling Learning - Masaki Suwa and Hiroshi Motoda
open this document and view contents Domains of attraction in autoassociative memory networks for character pattern recognition - Koichi Niijima
open this document and view contents The `lob-pass' problem and an on-line learning model of rational choice - N. Abe and J. Takeuchi
open this document and view contents On the power of polynomial discriminators and radial basis function networks - M. Anthony and S. Holden
open this document and view contents Opportunism and Learning - K. Hammond, T. Converse, M. Marks and C. M. Seifert
open this document and view contents Learning mu-branching programs with queries - V. Raghavan and D. Wilkins
open this document and view contents Amplification of weak learning under the uniform distribution - D. Boneh and R. Lipton
open this document and view contents Polynomial learnability of linear threshold approximations - T. Bylander
open this document and view contents Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics - Ming Tan
open this document and view contents Inductive inference with bounded mind changes - Yasuhito Mukouchi
open this document and view contents Monotonic language learning - Shyam Kapur
open this document and view contents Predicate Invention in ILP - an Overview - Irene Stahl
open this document and view contents Some Lower Bounds for the Computational Complexity of Inductive Logic Programming - Jörg-Uwe Kietz
open this document and view contents Use of Reduction Arguments in Determining Popperian FIN-Type Learning Capabilities - Robert Daley and Bala Kalyanasundaram
open this document and view contents The subset principle is an intensional principle - K. Wexler
open this document and view contents Using Genetic Algorithms for Concept Learning - Kenneth A. De Jong, William M. Spears and Diana F. Gordon
open this document and view contents Indexing and Elaboration and Refinement: Incremental Learning of Explanatory Cases - Ashwin Ram
open this document and view contents Genetic algorithms and machine learning - J. Grefenstette
open this document and view contents Exact learning via the monotone theory - Nader H. Bshouty
open this document and view contents Wastewater Treatment Systems from Case-Based Reasoning - Srinivas Krovvidy and William G. Wee
open this document and view contents Induction of Recursive Bayesian Classifiers - Pat Langley
open this document and view contents Lower bounds on the Vapnik-Chervonenkis dimension of multi-layer threshold networks - P. Bartlett
open this document and view contents Protein secondary structure prediction based on stochastic-rule learning - Hiroshi Mamitsuka and Kenji Yamanishi
open this document and view contents Experience Selection and Problem Choice in an Exploratory Learning System - Paul D. Scott and Shaul Markovitch
open this document and view contents COBBIT - A Control Procedure for COBWEB in the Presence of Concept Drift - Fredrik Kilander and Carl Gustaf Jansson
open this document and view contents Some computational lower bounds for the computational complexity of inductive logic programmming - Jorg-Uwe Kietz
open this document and view contents Getting Order Independence in Incremental Learning - Antoine Cornuéjols
open this document and view contents Rule Combination in Inductive Learning - L. Torgo
open this document and view contents Discovery as Autonomous Learning from the Environment - Wei-Min Shen
open this document and view contents Bivariate Scientific Function Finding in a Sampled, Real-Data Testbed - Cullen Schaffer
open this document and view contents SAMIA: A Bottom-Up Learning Method Using a Simulated Annealing Algorithm - Pierre Brézelle and Henri Soldano
open this document and view contents A Reply to Hellerstein's Book Review of Machine Learning: A Theoretical Approach - B. K. Natarajan
open this document and view contents An Integrated Framework for Empirical Discovery - Bernd Nordhausen and Pat Langley
open this document and view contents Learning Recursive Languages With a Bounded Number of Mind Changes - S. Lange and T. Zeugmann
open this document and view contents The Design of Discrimination Experiments - Shankar A. Rajamoney
open this document and view contents Controlled Redundancy in Incremental Rule Learning - L. Torgo
open this document and view contents Coding Decision Trees - C. S. Wallace and J. D. Patrick
open this document and view contents Exploiting Context When Learning to Classify - Peter D. Turney
open this document and view contents Can complexity theory benefit from learning theory? (Extended Abstract) - T. Hegedűs
open this document and view contents An on-line algorithm for improving performance in navigation. - A. Blum and P. Chalasani
open this document and view contents How to use expert advice - N. Cesa-Bianchi, Y. Freund, D. P. Helmbold, D. Haussler, R. E. Schapire and M. K. Warmuth
open this document and view contents Machine Discovery of Effective Admissible Heuristics - Armand E. Prieditis
open this document and view contents Learnability of Constrained Logic Programs - Saso Dzeroski, Stephen Muggleton and Stuart J. Russell
open this document and view contents Book Review: Machine Learning: A Theoretical Approach - Lisa Hellerstein
open this document and view contents An Iterative and Bottom-up Procedure for Proving-by-Example - Masami Hagiya
open this document and view contents Keeping neural networks simple by minimizing the description length of the weights - G. Hinton and D. van Camp
open this document and view contents Balanced Cooperative Modeling - Katharina Morik
open this document and view contents Design Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology - Peter D. Karp
open this document and view contents An application of Bernstein polynomials in PAC model - Masahiro Matsuoka
open this document and view contents Inductive Inference Machines That Can Refute Hypothesis Spaces - Yasuhito Mukouchi and Setsuo Arikawa
open this document and view contents Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding - Richard Maclin and Jude W. Shavlik
open this document and view contents Overfitting Avoidance as Bias - Cullen Schaffer
Januaryopen this document and view contents Information bounds for the risk of Bayesian predictions and the redundancy of universal codes - A. Barron, B. Clarke and D. Haussler
open this document and view contents Searching in an Unknown Environment: An Optimal Randomized Algorithm for the Cow-Path Problem - M. Kao, J. H. Reif and S. R. Tate
Februaryopen this document and view contents Pattern Recognition and Valiant's Learning Framework - L. Saitta and F. Bergadano
Aprilopen this document and view contents Inference of Finite Automata using Homing Sequences - R. L. Rivest and R. E. Schapire
Juneopen this document and view contents Learning from entailment: An application to propositional Horn sentences - Michael Frazier and Leonard Pitt
Julyopen this document and view contents Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families - M. P. Brown, R. Hughey, A. Krogh, I. S. Mian, K. Sjölander and D. Haussler
Augustopen this document and view contents Exact identification of circuits using fixed points of amplification functions - S. A. Goldman, M. J. Kearns and R. E. Schapire
Octoberopen this document and view contents Algorithmic Learning Theory, Third Workshop, ALT '92, Tokyo, Japan, October 1992, Proceedings - S. Doshita and K. Furukawa and K. P. Jantke and T. Nishida
open this document and view contents Learning binary relations and total orders - S. A. Goldman, R. L. Rivest and R. E. Schapire
Novemberopen this document and view contents Algorithmic Learning Theory, 4th International Workshop, ALT '93, Tokyo, Japan, November 1993, Proceedings - K. P. Jantke and S. Kobayashi and E. Tomita and T. Yokomori