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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
1995open this document and view contents On approximately identifying concept classes in the limit - Satoshi Kobayashi and Takashi Yokomori
open this document and view contents A Guided Tour Across the Boundaries of Learning Recursive Languages - T. Zeugmann and S. Lange
open this document and view contents Corrigendum for: Learnability of description logics - William W. Cohen and Haym Hirsh
open this document and view contents Technical and Scientific Issues of KDD (or: Is KDD a Science?) - Yves Kodratoff
open this document and view contents Piecemeal Learning of an Unknown Environment - Margrit Betke, Ronald L. Rivest and Mona Singh
open this document and view contents Practical PAC Learning - Dale Schuurmans and Russell Greiner
open this document and view contents Removing the genetics from the standard genetic algorithm - Shumeet Baluja and Rich Caruana
open this document and view contents Learnability of Kolmogorov-easy circuit expressions via queries - José L. Balcázar, Harry Buhrman and Montserrat Hermo
open this document and view contents Inductive Synthesis of Rewrite Programs - Ulf Goldammer
open this document and view contents Inductive learning of reactive action models - Scott Benson
open this document and view contents On-line learning of binary lexical relations using two-dimensional weighted majority algorithms - Naoki Abe, Hang Li and Atsuyoshi Nakamura
open this document and view contents Learning and Consistency - R. Wiehagen and T. Zeugmann
open this document and view contents Learning strongly deterministic even linear languages from positive examples - Takeshi Koshiba, Erkki Mäkinen and Yuji Takada
open this document and view contents A learning theoretic characterization of classes of recursive functions - Martin Kummer
open this document and view contents Information Geometry of the EM and em Algorithms for Neural Networks - Shun-ichi Amari
open this document and view contents Language Learning from Membership Queries and Characteristic Examples - Hiroshi Sakamoto
open this document and view contents Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers - Paul W. Goldberg and Mark R. Jerrum
open this document and view contents Optimization problem in inductive inference - A. Ambainis
open this document and view contents Additive versus exponentiated gradient updates for linear prediction - Jyrki Kivinen and Manfred K. Warmuth
open this document and view contents Learning from good examples - R. Freivalds, E. B. Kinber and R. Wiehagen
open this document and view contents Breaking the Probability 1/2 Barrier in FIN-type Learning - R. Daley, B. Kalyanasundaram and M. Velauthapillai
open this document and view contents On learning decision trees with large output domains - Nader H. Bshouty, Christino Tamon and David K. Wilson
open this document and view contents Function learning from interpolation - Martin Anthony and Peter Bartlett
open this document and view contents Discovering solutions with low Kolmogorov complexity and high generalization capability - Jürgen Schmidhuber
open this document and view contents Case-Based Representation and Learning of Pattern Languages - Klaus P. Jantke and Steffen Lange
open this document and view contents Efficient Learning of Real Time One-Counter Automata - Amr F. Fahmy and Robert S. Roos
open this document and view contents Editors' Introduction - Klaus P. Jantke, Takeshi Shinohara and T. Zeugmann
open this document and view contents Is the pocket algorithm optimal? - Marco Muselli
open this document and view contents A note on VC-dimension and measure of sets of reals - Shai Ben-David and Leonid Gurvits
open this document and view contents Ant-Q:a reinforcement learning approach to the traveling salesman problem - Luca M. Gambardella and Marco Dorigo
open this document and view contents An empirical investigation of brute force to choose features, smoothers and function approximators - Andrew W. Moore, Daniel J. Hill and Michael P. Johnson
open this document and view contents Monotonicity maintenance in information-theoretic machine learning algorithms - Arie Ben-David
open this document and view contents Trading Monotonicity Demands versus Mind Changes - Steffen Lange and Thomas Zeugmann
open this document and view contents Guest Editor's Introduction - Sally A. Goldman
open this document and view contents varepsilon-approximations of k-label spaces - Susumu Hasegawa, Hiroshi Imai and Masaki Ishiguro
open this document and view contents Learning via queries and oracles - Frank Stephan
open this document and view contents Learning by extended statistical queries and its relation to PAC learning - Eli Shamir and Clara Schwartzman
open this document and view contents Proceedings of the Eighth Annual Conference on Computational Learning Theory - Wolfgang Maass
open this document and view contents For every generalization action is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance - R. Bharat Rao, Diana Gordon and William Spears
open this document and view contents A typed lambda-calculus for proving-by-example and bottom-up generalization procedure - Masami Hagiya
open this document and view contents On Aggregating Teams of Learning Machines - Sanjay Jain and Arun Sharma
open this document and view contents Simple PAC learning of simple decision lists - Jorge Castro and José L. Balcázar
open this document and view contents On identification by teams and probabilistic machines - Sanjay Jain and Arun Sharma
open this document and view contents Finite Identification of Functions by Teams with Success Ratio frac12 and Above - Sanjay Jain, Arun Sharma and Mahendran Velauthapillai
open this document and view contents On a Question about Learning Nearly Minimal Programs - S. Jain
open this document and view contents Cognitive Computation (Extended Abstract) - Leslie G. Valiant
open this document and view contents Cross-validation and modal theories - Timothy L. Bailey and Charles Elkan
open this document and view contents Learning by observation and practice: an incremental approach for planning operator acquisition - Xuemei Wang
open this document and view contents Theory and applications of agnostic PAC-learning with small decision trees - Peter Auer, Robert C. Holte and Wolfgang Maass
open this document and view contents Multivariate decision trees - Carla E. Brodley and Paul E. Utgoff
open this document and view contents Learning from a mixture of labeled and unlabeled examples with parametric side information - Joel Ratsaby and Santosh S. Venkatesh
open this document and view contents Classifying recursive predicates and languages - R. Wiehagen, C. H. Smith and T. Zeugmann
open this document and view contents Simulating Teams with Many Conjectures - Bala Kalyanasundaram and Mahendran Velauthapillai
open this document and view contents Learning by Distances - S. Ben-David, A. Itai and E. Kushilevitz
open this document and view contents An O(nloglog n) learning algorithm for DNF under the uniform distribution - Yishay Mansour
open this document and view contents Optimal Strategies - Learning from Examples - Boolean Equations - Christian Posthoff and Michael Schlosser
open this document and view contents Complexity Issues for Vacillatory Function Identification - J. Case, S. Jain and A. Sharma
open this document and view contents Complexity of network training for classes of neural networks - Charles C. Pinter
open this document and view contents Automatic speaker recognition: an application of machine learning - Brett Squires and Claude Sammut
open this document and view contents Learning sparse linear combinations of basis functions over a finite domain - Atsuyoshi Nakamura and Shinji Miura
open this document and view contents Efficient learning from delayed rewards through symbolic evolution - David E. Moriarty and Risto Miikkulainen
open this document and view contents More or less efficient agnostic learning of convex polygons - Paul Fischer
open this document and view contents Learning Formal Languages Based on Control Sets - Yuji Takada
open this document and view contents Recursive automatic bias selection for classifier construction - Carla E. Brodley
open this document and view contents Improving model selection by dynamic regularization methods - Ferdinand Hergert, William Finnoff and Hans-Georg Zimmermann
open this document and view contents The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces - Andrew W. Moore and Christopher G. Atkeson
open this document and view contents Supervised and unsupervised discretization of continuous features - James Dougherty, Ron Kohavi and Mehran Sahami
open this document and view contents Inductive Inference of Recurrence-Term Languages from Positive Data - Phil Watson
open this document and view contents Learning from a population of hypotheses - Michael Kearns and H. Sebastian Seung
open this document and view contents Learning to model sequences generated by switching distributions - Yoav Freund and Dana Ron
open this document and view contents General Bounds for Predictive Errors in Supervised Learning - Manfred Opper and David Haussler
open this document and view contents Comparing several linear-threshold learning algorithms on tasks involving superfluous attributes - Nick Littlestone
open this document and view contents Inferring finite automata with stochastic output functions and an application to map learning - Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis and Oded Maron
open this document and view contents Learning context to disambiguate word senses - Ellen M. Voorhees, Claudia Leacock and Geoffrey Towell
open this document and view contents Error-correcting output coding corrects bias and variance - Eun Bae Kong and Thomas G. Dietterich
open this document and view contents Estimating continuous distributions in Bayesian classifiers - George H. John and Pat Langley
open this document and view contents Generalized teaching dimensions and the query complexity of learning - Tibor Hegedüs
open this document and view contents Efficient algorithms for learning to play repeated games against computationally bounded adversaries - Yoav Freund, Michael Kearns, Yishay Mansour, Dana Ron and Ronitt Rubinfeld
open this document and view contents Learning collection fusion strategies for information retrieval - Geoffrey Towell, Ellen M. Voorhees, Narendra K. Gupta and Ben Johnson-Laird
open this document and view contents Four types of noise in data for PAC Learning - R. H. Sloan
open this document and view contents Noise-tolerant parallel learning of geometric concepts - Nader H. Bshouty, Sally A. Goldman and David H. Mathias
open this document and view contents PAC-learnability of constrained nonrecursive logic programs - Sašo Džeroski, Stephen Muggleton and Stuart Russell
open this document and view contents Characterizations of learnability for classes of {0,dots, n}-valued functions - Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler and Philip M. Long
open this document and view contents An Infinite Class of Functions Identifiable Using Minimal Programs in all Kolmogorov Numberings - Sanjay Jain
open this document and view contents An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms - Dietrich Wettschereck and Thomas G. Dietterich
open this document and view contents Shifting Vocabulary Bias in Speedup Learning - Devika Subramanian
open this document and view contents Efficient learning with virtual threshold gates - Wolfgang Maass and Manfred K. Warmuth
open this document and view contents The query complexity of learning some subclasses of context-free grammars - Carlos Domingo and Victor Lavín
open this document and view contents A knowledge-based model of geometry learning - Geoffrey Towell and Richard Lehrer
open this document and view contents Incremental learning of logic programs - M. R. K. Krishna Rao
open this document and view contents On genetic algorithms - Eric B. Baum, Dan Boneh and Charles Garrett
open this document and view contents Machine Induction Without Revolutionary Paradigm Shifts - John Case, Sanjay Jain and Arun Sharma
open this document and view contents TD models: modeling the world at a mixture of time scales - Richard S. Sutton
open this document and view contents Analysis of the blurring process - Yizong Cheng and Zhangyong Wan
open this document and view contents Fast effective rule induction - William W. Cohen
open this document and view contents A note on learning multivariate polynomials under the uniform distribution - Nader H. Bshouty
open this document and view contents Learning proof heuristics by adapting parameters - Matthias Fuchs
open this document and view contents On the Bayesian 'Occam factors' argument for Occam's razor - David H. Wolpert
open this document and view contents An inductive learning approach to prognostic prediction - W. Nick Street, O. L. Mangasarian and W. H. Wolberg
open this document and view contents The perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant - Jyrki Kivinen and Manfred K. Warmuth
open this document and view contents Modeling Incremental Learning from Positive Data - S. Lange and T. Zeugmann
open this document and view contents Visualizing high-dimensional structure with the incremental grid-growing neural network - Justine Blackmore and Risto Miikkulainen
open this document and view contents Predictive Hebbian learning - Terrence J. Sejnowski, Peter Dayan and P. Read Montague
open this document and view contents How Inductive Inference Strategies Discover Their Errors - Rīsiņš Freivalds, Efim B. Kinber and Rolf Wiehagen
open this document and view contents On the learnability of ZN-DNF formulas - Nader H. Bshouty, Zhixiang Chen, Scott E. Decatur and Steven Homer
open this document and view contents Probably Almost Discriminative Learning - Kenji Yamanishi
open this document and view contents Soft classification, a.k.a. risk estimation, via penalized log likelihood and smoothing spline analysis of variance - Grace Wahba, Chong Gu, Yuedong Wang and Richard Chappell
open this document and view contents Probabilistic versus Deterministic Memory Limited Learning - R. Freivalds, E. B. Kinber and C. H. Smith
open this document and view contents The Appropriateness of Predicate Invention as Bias Shift Operation in ILP - Irene Stahl
open this document and view contents Learning by a population of perceptrons - Kukjin Kang and Jong-Hoon Oh
open this document and view contents ALECSYS and the AutonoMouse: learning to control a real robot by distributed classifier systems - Marco Dorigo
open this document and view contents Neural networks for full-scale protein sequence classification: sequence encoding with singular value decomposition - Cathy Wu, Michael Berry, Sailaja Shivakumar and Jerry McLarty
open this document and view contents Investigating the value of a good input representation - Mark W. Craven and Jude W. Shavlik
open this document and view contents Recurrent neural networks with time-dependent inputs and outputs - Volkmar Sterzing and Bernd Schürmann
open this document and view contents Residual algorithms: reinforcement learning with function approximation - Leemon Baird
open this document and view contents On the optimal capacity of binary neural networks: rigorous combinatorial approaches - Jeong Han Kim and James R. Roche
open this document and view contents Q-learning for bandit problems - Michael O. Duff
open this document and view contents Fast learning of k-term DNF formulas with queries - Avrim Blum and Stephen Rudich
open this document and view contents A comparative evaluation of voting and meta-learning on partitioned data - Philip K. Chan and Salvatore J. Stolfo
open this document and view contents High accuracy path tracking by neural linearization techniques - Stefan Miesbach
open this document and view contents From noise-free to noise-tolerant and from on-line to batch learning - Norbert Klasner and Hans Ulrich Simon
open this document and view contents Sample sizes for sigmoidal neural networks - John Shawe-Taylor
open this document and view contents On the computational power of neural nets - Hava T. Siegelmann and Eduardo D. Sontag
open this document and view contents Learning with rare cases and small disjuncts - Gary M. Weiss
open this document and view contents Inductive inference of functions on the rationals - Douglas A. Cenzer and William R. Moser
open this document and view contents Compression-based discretization of continuous attributes - Bernhard Pfahringer
open this document and view contents On learning from noisy and incomplete examples - Scott E. Decatur and Rosario Gennaro
open this document and view contents Hill climbing beats genetic search on a Boolean circuit problem of Koza's - Kevin J. Lang
open this document and view contents Retrofitting decision tree classifiers using kernel density estimation - Padhraic Smyth, Alexander Gray and Usama M. Fayyad
open this document and view contents Learning via Queries, Teams, and Anomalies - William Gasarch, Efim Kinber, Mark Pleszkoch, Carl Smith and Thomas Zeugmann
open this document and view contents On Pruning and averaging decision trees - Jonathan J. Oliver and David J. Hand
open this document and view contents Importance-based feature extraction for reinforcement learning - David J. Finton and Yu Hen Hu
open this document and view contents DNF - if you can't learn 'em, teach 'em: an interactive model of teaching - David H. Mathias
open this document and view contents Learning internal representations - Jonathan Baxter
open this document and view contents Support-vector networks - Corinna Cortes and Vladimir Vapnik
open this document and view contents Learning decision lists and trees with equivalence-queries - Hans Ulrich Simon
open this document and view contents Language Learning from Texts: Mindchanges, Limited Memory, and Monotonicity - Efim Kinber and Frank Stephan
open this document and view contents Simple learning algorithms using divide and conquer - Nader H. Bshouty
open this document and view contents Mutual Information and Bayes Methods for Learning a Distribution - David Haussler and Manfred Opper
open this document and view contents Application of Kolmogorov Complexity to Inductive Inference with Limited Memory - Andris Ambainis
open this document and view contents When won't membership queries help? - Dana Angluin and Michael Kharitonov
open this document and view contents Trading monotonicity demands versus efficiency - S. Lange and T. Zeugmann
open this document and view contents On learning decision committees - Richard Nock and Olivier Gascuel
open this document and view contents Committee-based sampling for training probabilistic classifiers - Ido Dagan and Sean P. Engelson
open this document and view contents Learning policies for partially observable environments: scaling up - Michael L. Littman, Anthony R. Cassandra and Leslie Pack Kaelbling
open this document and view contents Efficient algorithms for finding multi-way splits for decision trees - Truxton Fulton, Simon Kasif and Steven Salzberg
open this document and view contents Learning of regular expressions by pattern matching - Alvis Brāzma
open this document and view contents Bounds on the classification error of the nearest neighbor rule - John A. Drakopoulos
open this document and view contents Increasing the performance and consistency of classification trees by using the accuracy criterion at the leaves - David J. Lubinsky
open this document and view contents Criteria for specifying machine complexity in learning - Changfeng Wang and Santosh S. Venkatesh
open this document and view contents Bounding VC-dimension for neural networks: progress and prospects - Marek Karpinski and Angus Macintyre
open this document and view contents Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993. - Geoffrey Towell
open this document and view contents A Bayesian analysis of algorithms for learning finite functions - James Cussens
open this document and view contents On Weak Learning - David P. Helmbold and Manfred K. Warmuth
open this document and view contents Encouraging Experimental Results on Learning CNF - Raymond J. Mooney
open this document and view contents Polynomial bounds for VC dimension of sigmoidal neural networks - Marek Karpinski and Angus Macintyre
open this document and view contents Inductive Policy: The Pragmatics of Bias Selection - John Foster Provost and Bruce G. Buchanan
open this document and view contents Simple learning algorithms for decision trees and multivariate polynomials - Nader H. Bshouty and Yishay Mansour
open this document and view contents Learning to make rent-to-buy decisions with systems applications - P. Krishnan, Philip M. Long and Jeffrey Scott Vitter
open this document and view contents Learning ordered binary decision diagrams - Ricard Gavaldà and David Guijarro
open this document and view contents Pac-Learning Recursive Logic Programs: Efficient Algorithms - William W. Cohen
open this document and view contents Reducing the small disjuncts problem by learning probabilistic concept descriptions - Kamal M. Ali and Michael J. Pazzani
open this document and view contents Robust trainability of single neurons - Klaus-U. Höffgen, Hans-U. Simon and Kevin S. Van Horn
open this document and view contents Learning polynomials with queries: the highly noisy case - Oded Goldreich, Ronitt Rubinfeld and Madhu Sudan
open this document and view contents Sphere packing numbers for subsets of the Boolean n-cube with bounded Vapnik-Chervonenkis dimension - D. Haussler
open this document and view contents Randomized approximate aggregating strategies and their applications to prediction and discrimination - Kenji Yamanishi
open this document and view contents Unsupervised learning of multiple motifs in biopolymers using expectation maximization - Timothy L. Bailey and Charles Elkan
open this document and view contents How to use expert advice in the case when actual values of estimated events remain unknown - Olga Mitina and Nikolai Vereshchagin
open this document and view contents Distilling reliable information from unreliable theories - Sean P. Engelson and Moshe Koppel
open this document and view contents On learning multiple concepts in parallel - Efim Kinber, Carl H. Smith, Mahendran Velauthapillai and Rolf Wiehagen
open this document and view contents Language learning from texts: mind changes, limited memory and monotonicity - Efim Kinber and Frank Stephan
open this document and view contents Fast and efficient reinforcement learning with truncated temporal differences - Pawel Cichosz and Jan J. Mulawka
open this document and view contents Horizontal generalization - David H. Wolpert
open this document and view contents More theorems about scale-sensitive dimensions and learning - Peter L. Bartlett and Philip M. Long
open this document and view contents Sequential PAC learning - Dale Schuurmans and Russell Greiner
open this document and view contents A preliminary PAC analysis of theory revision - Raymond J. Mooney
open this document and view contents Bounds for Predictive Errors in the Statistical Mechanics of in Supervised Learning - Manfred Opper and David Haussler
open this document and view contents Learning in Case-Based Classification Algorithms - Christoph Globig and Stefan Wess
open this document and view contents Discovering Dependencies via Algorithmic Mutual Information: A Case Study in DNA Sequence Comparisons - Aleksandar Milosavljevic
open this document and view contents DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration - D. M. Cohen, C. Kulikowski and H. Berman
open this document and view contents A case study of explanation-based control - Gerald DeJong
open this document and view contents A Branch and Bound Incremental Conceptual Clusterer - Arthur J. Nevins
open this document and view contents On the Stochastic Complexity of Learning Realizable and Unrealizable Rules - Ronny Meir and Neri Merhav
open this document and view contents Automated Refinement of First-Order Horn-Clause Domain Theories - Bradley L. Richards and Raymond J. Mooney
open this document and view contents Online learning via congregational gradient descent - Kim L. Blackmore, Robert C. Williamson, Iven M. Y. Mareels and William A. Sethares
open this document and view contents Use of Adaptive Networks to Define Highly Predictable Protein Secondary-Structure Classes - Alan S. Lapedes, Evan W. Steeg and Robert M. Farber
open this document and view contents On the complexity of training neural networks with continuous activation functions - B. DasGupta, H. T. Siegelmann and E. Sontag
open this document and view contents A game of prediction with expert advice - V. G. Vovk
open this document and view contents NewsWeeder: learning to filter netnews - Ken Lang
open this document and view contents Reducing the number of queries in self-directed learning - Yiqun L. Yin
open this document and view contents Active exploration and learning in real-valued spaces using multi-armed bandit allocation indices - Marcos Salganicoff and Lyle H. Ungar
open this document and view contents Exact learning of linear combinations of monotone terms from function value queries - Atsuyoshi Nakamura and Naoki Abe
open this document and view contents On the Impact of Forgetting on Learning Machines - R. Freivalds, E. Kinber and C. Smith
open this document and view contents On the complexity of teaching - Sally A. Goldman and Michael J. Kearns
open this document and view contents Stable function approximation in dynamic programming - Geoffrey J. Gordon
open this document and view contents Learning behaviors of automata from shortest counterexamples - F. Bergadano and S. Varricchio
open this document and view contents Critical Points for Least-Squares Problems Involving Certain Analytic Functions, with Applications to Sigmoidal Nets - Eduardo D. Sontag
open this document and view contents On the Fourier spectrum of monotone functions - Nader Bshouty and Christino Tamon
open this document and view contents A generalization of Sauer's Lemma - D. Haussler and P. Long
open this document and view contents On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata - Takashi Yokomori
open this document and view contents Miminum description length estimators under the optimal coding scheme - V. G. Vovk
open this document and view contents Learning using group representations - Dan Boneh
open this document and view contents A Loss Bound Model for On-line Stochastic Prediction Algorithms - Kenji Yamanishi
open this document and view contents Some theorems concerning the free energy of (un)constrained stochastic Hopfield neural networks - Jan van den Berg and Jan C. Bioch
open this document and view contents Characterizations of monotonic and dual monotonic language learning - T. Zeugmann, S. Lange and S. Kapur
open this document and view contents Towards a mathematical theory of machine discovery from facts - Yasuhito Mukouchi and Setsuo Arikawa
open this document and view contents Technical Note: Bias and the Quantification of Stability - Peter Turney
open this document and view contents Automatic parameter selection by minimizing estimated error - Ron Kohavi and George H. John
open this document and view contents Language learning without overgeneralization - S. Kapur and G. Bilardi
open this document and view contents On the VC-dimension of depth four threshold circuits and the complexity of Boolean-valued functions - Akito Sakurai
open this document and view contents A quantitative study of hypothesis selection - Philip W. L. Fong
open this document and view contents Two Variations of Inductive Inference of Languages from Positive Data - Takashi Tabe and Thomas Zeugmann
open this document and view contents On self-directed learning - Shai Ben-David, Nadav Eiron and Eyal Kushilevitz
open this document and view contents Pac-Learning Recursive Logic Programs: Negative Results - William W. Cohen
open this document and view contents On-line learning of linear functions - N. Littlestone, P. M. Long and M. K. Warmuth
open this document and view contents Free to choose: investigating the sample complexity of active learning of real valued functions - Partha Niyogi
open this document and view contents Topological Considerations in Composing Teams of Learning Machines - Kalvis Aps\=ıtis
open this document and view contents Refutable inference of functions computed by loop programs - T. Miyahara
open this document and view contents (Research Note) Classification accuracy: Machine learning vs. explicit knowledge acquisition - Arie Ben-David and Janice Mandel
open this document and view contents Convergence results for the EM approach to Mixtures of Experts Architectures - M. I. Jordan and L. Xu
open this document and view contents Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition - Cathy Wu, Michael Berry and Sailaja Shivakumar
open this document and view contents Inferring reduced ordered decision graphs of minimum decision length - Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli
open this document and view contents Solving Multiclass Learning Problems via Error-Correcting Output Codes - T. G. Dietterich and G. Bakiri
open this document and view contents Language learning with some negative information - Ganesh Baliga, John Case and Sanjay Jain
open this document and view contents Learning Fallible Deterministic Finite Automata - Dana Ron and Ronitt Rubinfeld
open this document and view contents A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance - Dean A. Pomerleau
open this document and view contents On-line learning of binary and n-ary relations over multi-dimensional clusters - Atsuyoshi Nakamura and Naoki Abe
open this document and view contents Recursion theoretic models of learning: some results and intuitions - Carl H. Smith and William I. Gasarch
open this document and view contents Instance-based utile distinctions for reinforcement learning with hidden state - R. Andrew McCallum
open this document and view contents Searching for Representations to Improve Protein Sequence Fold-Class Prediction - Thomas R. Ioerger, Larry A. Rendell and Shankar Subramaniam
open this document and view contents Efficient memory-based dynamic programming - Jing Peng
open this document and view contents Being taught can be faster than asking questions - Ronald L. Rivest and Yiqun L. Yin
open this document and view contents On The Learnability Of Disjunctive Normal Form Formulas - Howard Aizenstein and Leonard Pitt
open this document and view contents Sample compression, learnability, and the Vapnik-Chervonenkis dimension - Sally Floyd and Manfred Warmuth
open this document and view contents Inductive Constraint Logic - Luc De Raedt and Wim Van Laer
open this document and view contents Using multidimensional projection to find relations - Eduardo Pérez and Larry A. Rendell
open this document and view contents Automatic selection of split criterion during tree growing based on node location - Carla E. Brodley
open this document and view contents On the inductive inference of real valued functions - Kalvis Aps\=ıtis, Rīsiņš Freivalds and Carl H. Smith
open this document and view contents Analogical logic program synthesis algorithm that can refute inappropriate similarities - Ken Sadohara and Makoto Haraguchi
open this document and view contents Complexity of computing Vapnik-Chervonenkis dimension and some generalized dimensions - Ayumi Shinohara
open this document and view contents Evaluation and selection of biases in machine learning - Diana F. Gordon and Marie desJardins
open this document and view contents Protein folding: symbolic refinement competes with neural networks - Susan Craw and Paul Hutton
open this document and view contents A note on the use of probabilities by mechanical learners - Eric Martin and Daniel Osherson
open this document and view contents On learning bounded-width branching programs - Funda Ergün, Ravi S. Kumar and Ronitt Rubinfeld
open this document and view contents Prudence in Vacillatory Language Identification - S. Jain and A. Sharma
open this document and view contents Machine discovery of protein motifs - Darrell Conklin
open this document and view contents Text categorization and relational learning - William W. Cohen
open this document and view contents Concept learning with geometric hypotheses - David P. Dobkin and Dimitrios Gunopulos
open this document and view contents Error detecting in inductive inference - R. Freivalds, E. B. Kinber and R. Wiehagen
open this document and view contents Symbiosis in multimodal concept learning - Jukka Hekanaho
open this document and view contents Inductive Inference of Formal Languages - Masako Sato
open this document and view contents Learning with unreliable boundary queries - Avrim Blum, Prasad Chalasani, Sally A. Goldman and Donna K. Slonim
open this document and view contents Rationality - Leslie G. Valiant
open this document and view contents Refined Incremental Learning - S. Lange and T. Zeugmann
open this document and view contents On the Intrinsic Complexity of Learning - Rīsiņš Freivalds, Efim Kinber and Carl H. Smith
open this document and view contents Empirical support for Winnow and weighted-majority based algorithms: results on a calendar scheduling domain - Avrim Blum
open this document and view contents Feature Construction during Tree Learning - G. Mehlsam, H. Kaindl and W. Barth
open this document and view contents Declarative Bias for Specific-to-General ILP Systems - Hilde Adé, Luc De Raedt and Maurice Bruynooghe
open this document and view contents K*: an instance-based learner using an entropic distance measure - John G. Cleary and Leonard E. Trigg
open this document and view contents T-.1em.7exL-.31emP-.1em.4exS - a Term Rewriting Laboratory (not only) for Experiments in Automatic Program Synthesis - Gunter Grieser
open this document and view contents Characterizing PAC-Learnability of Semilinear Sets - Naoki Abe
open this document and view contents On handling tree-structured attributes in decision tree learning - Hussein Almuallim, Yasuhiro Akiba and Shigeo Kaneda
open this document and view contents Comprehension Grammars Generated from Machine Learning of Natural Languages - Patrick Suppes, Michael Böttner and Lin Liang
open this document and view contents Markov decision processes in large state spaces - Lawrence K. Saul and Satinder P. Singh
open this document and view contents The Complexity of Learning Minor Closed Graph Classes - Carlos Domingo and John Shawe-Taylor
open this document and view contents On the Sample Complexity of Weak Learning - S. A. Goldman, M. J. Kearns and R. E. Schapire
open this document and view contents MDL learning of unions of simple pattern languages from positive examples - Pekka Kilpeläinen, Heikki Mannila and Esko Ukkonen
open this document and view contents Cryptographic lower bounds for learnability of Boolean functions on the uniform distribution - Michael Kharitonov
open this document and view contents Learning hierarchies from ambiguous natural language data - Takefumi Yamazaki, Michael J. Pazzani and Christopher Merz
open this document and view contents General bounds on the mutual information between a parameter and n conditionally independent observations - David Haussler and Manfred Opper
open this document and view contents A method for constructive learning of recurrent neural networks - Dong Chen, C. Lee Giles, Gordon Sun, Mark W. Goudreau, Hsing-Hen Chen and Yee-Chun Lee
open this document and view contents An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts - Jianping Zhang and Ryszard S. Michalski
open this document and view contents A lexically based semantic bias for theory revision - Clifford Brunk and Michael Pazzani
open this document and view contents MDL and categorical theories (continued) - J. R. Quinlan
open this document and view contents Genetic Algorithms, Operators, and DNA Fragment Assembly - Rebecca J. Parsons, Stephanie Forrest and Christian Burks
open this document and view contents The power of procrastination in inductive inference: how it depends on used ordinal notations - Andris Ambainis
open this document and view contents Towards Reduction Arguments for FINite Learning - Robert Daley and Bala Kalyanasundaram
open this document and view contents The challenge of revising an impure theory - Russell Greiner
open this document and view contents Learning in the presence of finitely or infinitely many irrelevant attributes - Avrim Blum, Lisa Hellerstein and Nick Littlestone
open this document and view contents Learning Bayesian networks: the combination of knowledge and statistical data - David Heckerman, Dan Geiger and David M. Chickering
open this document and view contents On the complexity of function learning - Peter Auer, Philip M. Long, W. Maass and Gerhard J. Woeginger
open this document and view contents Introduction - Jude Shavlik, Lawrence Hunter and David Searls
open this document and view contents A comparison of inductive algorithms for selective and non-selective Bayesian classifiers - Moninder Singh and Gregory M. Provan
open this document and view contents Learning binary relations using weighted majority voting - Sally A. Goldman and Manfred K. Warmuth
open this document and view contents Typed pattern languages and their learnability - Takeshi Koshiba
open this document and view contents A Markovian Extension of Valiant's Learning Model - D. Aldous and U. Vazirani
open this document and view contents Pattern Inference - T. Shinohara and S. Arikawa
open this document and view contents Structuring Neural Networks and PAC Learning - E. Pippig
open this document and view contents Average case analysis of a learning algorithm for mu-DNF expressions - Mostefa Golea
open this document and view contents Regression NSS: an alternative to cross validation - Michael P. Perrone and Brian S. Blais
open this document and view contents Not-so-nearly-minimal-size program inference - John Case, Mandayam Suraj and Sanjay Jain
open this document and view contents Learning prototypical concept descriptions - Piew Datta and Dennis Kibler
open this document and view contents Can PAC Learning Algorithms Tolerate Random Attribute Noise? - S. A. Goldman and R. H. Sloan
open this document and view contents Tight worst-case loss bounds for predicting with expert advice - David Haussler, Jyrki Kivinen and Manfred K. Warmuth
open this document and view contents A space-bounded learning algorithm for axis-parallel rectangles - Foued Ameur
open this document and view contents Learning finite automata using local distinguishing experiments - Wei-Min Shen
open this document and view contents Learning with probabilistic supervision - Padhraic Smyth
open this document and view contents On efficient agnostic learning of linear combinations of basis functions - Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson
open this document and view contents The Complexity of Theory Revision - Russell Greiner
open this document and view contents Case-based acquisition of place knowledge - Pat Langley and Karl Pfleger
open this document and view contents Lessons from theory revision applied to constructive induction - Stephen K. Donoho and Larry A. Rendell
open this document and view contents Reinforcement learning by stochastic hill climbing on discounted reward - Hajime Kimura, Masayuki Yamamura and Shigenobu Kobayashi
open this document and view contents On the sample complexity of PAC learning half-spaces against the uniform distribution - Philip M. Long
open this document and view contents Reductions for learning via queries - William Gasarch and Geoffrey R. Hird
open this document and view contents The Structure of Intrinsic Complexity of Learning - Sanjay Jain and Arun Sharma
open this document and view contents Gambling in a rigged casino: the adversarial multi-armed bandit problem - Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund and Robert E. Schapire
open this document and view contents On the learnability and usage of acyclic probabilistic finite automata - Dana Ron, Yoram Singer and Naftali Tishby
open this document and view contents Using heuristic search to expand knowledge-based neural networks - David W. Opitz and Jude W. Shavlik
open this document and view contents Reflecting and Self-Confident Inductive Inference Machines - Klaus P. Jantke
open this document and view contents A comparison of ID3 and backpropogation for English text-to-speech mapping - Thomas G. Dietterich, Hermann Hild and Ghulum Bakiri
Januaryopen this document and view contents The EM algorithm and Information geometry in neural network learning - S. Amari
Septemberopen this document and view contents Boosting a Weak Learning Algorithm by Majority - Y. Freund
Octoberopen this document and view contents Algorithmic Learning Theory, 6th International Workshop, ALT '95, Fukuoka, Japan, October 18-20, 1995, Proceedings - Klaus P. Jantke and Takeshi Shinohara and Thomas Zeugmann