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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
1998open this document and view contents Inferring a Rewriting System from Examples - Yasuhito Mukouchi, Ikuyo Yamue and Masako Sato
open this document and view contents Learning from Examples and Membership Queries with Structured Determinations - Prasad Tadepalli and Stuart Russell
open this document and view contents Efficient learning of monotone concepts via quadratic optimization - David Gamarnik
open this document and view contents Lange and Wiehagen's Pattern Language Learning Algorithm: An Average-Case Analysis with respect to its Total Learning Time - T. Zeugmann
open this document and view contents Transducer-Learning Experiments on Language Understanding - David Picó and Enrique Vidal
open this document and view contents Polylogarithmic-overhead piecemeal graph exploration - Baruch Awerbuch and Stephen G. Kobourov
open this document and view contents Hardness results for learning first-order representations and programming by demonstration - William W. Cohen
open this document and view contents Finite-time regret bounds for the multiarmed bandit problem - Nicolò Cesa-Bianchi and Paul Fischer
open this document and view contents Strong minimax lower bounds for learning - András Antos and Gábor Lugosi
open this document and view contents Learning Boxes in High Dimension - Amos Beimel and Eyal Kushilevitz
open this document and view contents Polynomial-Time Inference of Paralleled Even Monogenic Pure Context-Free Languages - Noriyuki Tanida
open this document and view contents Structural risk minimization over data-dependent hierarchies - J. Shawe-Taylor and P. L. Bartlett
open this document and view contents Using learning for approximation in stochastic processes - Daphne Koller and Raya Fratkina
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 On Bayes Methods for On-Line Boolean Prediction - Nicolò Cesa-Bianchi, David P. Helmbold and Sandra Panizza
open this document and view contents Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data - Peter Rossmanith and Thomas Zeugmann
open this document and view contents Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms - Thomas G. Dietterich
open this document and view contents Learning recursive languages from good examples - Steffen Lange, Jochen Nessel and Rolf Wiehagen
open this document and view contents Minimal Concept Identification and Reliability - Sanjay Jain
open this document and view contents Characterizing Sufficient Expertise for Learning System Validation - Gunter Grieser, Klaus P. Jantke and Steffen Lange
open this document and view contents Fast Online Q(lambda) - Marco Wiering and Jürgen Schmidhuber
open this document and view contents Learning to Win Process-Control Games Watching Game-Masters - J. Case, M. Ott, A. Sharma and F. Stephan
open this document and view contents On sequential prediction of individual sequences relative to a set of experts - Nicolò Cesa-Bianchi and Gábor Lugosi
open this document and view contents Elements of Scientific Inquiry - Eric Martin and Daniel N. Osherson
open this document and view contents An efficient boosting algorithm for combining preferences - Yoav Freund, Raj Iyer, Robert E. Schapire and Yoram Singer
open this document and view contents Uniform Characterizations of polynomial-query learnabilities - Yosuke Hayashi, Satoshi Matsumoto, Ayumi Shinohara and Masayuki Takeda
open this document and view contents PAC Learning from Positive Statistical Queries - François Denis
open this document and view contents On the boosting algorithm for multiclass functions based on information-theoretic criterion for approximation - Eiji Takimoto and Akira Maruoka
open this document and view contents Predictive Learning Models for Concept Drift - John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma and Frank Stephan
open this document and view contents Using Attribute Grammars for Description of Inductive Inference Search Space - Uğis Sarkans and J. Bārzdiņs
open this document and view contents Learning in the 'real world' - Lorenzo Saitta and Filippo Neri
open this document and view contents Learning to communicate via unknown channel - Meir Feder
open this document and view contents Noise-tolerant distribution-free learning of general geometric concepts - Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri and Hisao Tamaki
open this document and view contents Learning solution preferences in constraint problems - Francesca Rossi and Alessandro Sperduti
open this document and view contents Finding a One-Variable Pattern from Incomplete Data - Hiroshi Sakamoto
open this document and view contents Neural networks and efficient associative memory - Matthias Miltrup and Georg Schnitger
open this document and view contents Identifying nearly minimal Gödel numbers from additional information - Rusins Freivalds, Ognian Botuscharov and Rolf Wiehagen
open this document and view contents Consistent Polynomial Identification in the Limit - Werner Stein
open this document and view contents Using Computational Learning Strategies as a Tool for Combinatorial Optimization - Andreas Birkendorf and Hans-Ulrich Simon
open this document and view contents A supra-classifier architecture for scalable knowledge reuse - Kurt D. Bollacker and Joydeep Ghosh
open this document and view contents Learnability of a subclass of extended pattern languages - Andrew R. Mitchell
open this document and view contents Bayesian classifiers are large margin hyperplanes in a Hilbert space - Nello Cristianini, John Shawe-Taylor and Peter Sykacek
open this document and view contents Property testing and its connection to learning and approximation - Oded Goldreich, Shari Goldwasser and Dana Ron
open this document and view contents Improving text classification by shrinkage in a hierarchy of classes - Andrew McCallum, Ronald Rosenfeld, Tom Mitchell and Andrew Y. Ng
open this document and view contents An experimental evaluation of coevolutive concept learning - Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello and Lorenza Saitta
open this document and view contents Applying grammatical inference in learning a language model for oral dialogue - Jacques Chodorowski and Laurent Miclet
open this document and view contents The query complexity of finding local minima in the lattice - Amos Beimel, Felix Geller and Eyal Kushilevitz
open this document and view contents Tracking the best regressor - Mark Herbster and Manfred K. Warmuth
open this document and view contents Learning Coordination Strategies for Cooperative Multiagent Systems - F. Ho and M. Kamel
open this document and view contents Combining nearest neighbor classifiers through multiple feature subsets - Stephen D. Bay
open this document and view contents Conjectural Equilibrium in Multiagent Learning - Michael P. Wellman and Junling Hu
open this document and view contents Learning with restricted focus of attention - Shai Ben-David and Eli Dichterman
open this document and view contents Classification Accuracy Based on Observed Margin - John Shawe-Taylor
open this document and view contents Teaching an agent to test students - Gheorghe Tecuci and Harry Keeling
open this document and view contents Srtuctural machine learning with Galois lattice and graphs - Michel Liquiere and Jean Sallantin
open this document and view contents On the sample complexity of learning functions with bounded variation - Philip M. Long
open this document and view contents Learning deterministic finite automaton with a recurrent neural network - Laura Firoiu, Tim Oates and Paul R. Cohen
open this document and view contents The case against accuracy estimation for comparing induction algorithms - Foster Provost, Tom Fawcett and Ron Kohavi
open this document and view contents Relational reinforcement learning - Sašo Džeroski, Luc De Raedt and Hendrik Blockeel
open this document and view contents Refining initial points for K-Means clustering - Paul S. Bradley and Usama M. Fayyad
open this document and view contents Exact learning of tree patterns from queries and counterexamples - Thomas R. Amoth, Paul Cull and Prasad Tadepalli
open this document and view contents An information-theoretic definition of similarity - Dekang Lin
open this document and view contents Covering cubes by random half cubes, with applications to binary neural networks - Jeong Han Kim and James R. Roche
open this document and view contents Top-down induction of clustering trees - Hendrik Blockeel, Luc De Raedt and Jan Ramon
open this document and view contents On-line learning with malicious noise and the closure algorithm - Peter Auer and Nicolò Cesa-Bianchi
open this document and view contents Real language learning - Jerome A. Feldman
open this document and view contents Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries - Valery N. Shevchenko and Nikolai Yu. Zolotykh
open this document and view contents A neural network model for prognostic prediction - W. Nick Street
open this document and view contents A Decision-Theoretic Extension of Stochcastic Complexity and Its Applications to Learning - Kenji Yamanishi
open this document and view contents Q2: memory-based active learning for optimizing noisy continuous functions - Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan and Mary S. Lee
open this document and view contents Collaborative filtering using weighted majority prediction algorithms - Atsuyoshi Nakamura and Naoki Abe
open this document and view contents Locality, Reversibility, and Beyond: Learning Languages from Positive Data - Tom Head, Satoshi Kobayashi and Takashi Yokomori
open this document and view contents Learning from Expert Hypotheses and Training Examples - Shigeo Kaneda, Hussein Almuallim, Yasuhiro Akiba and Megumi Ishi
open this document and view contents Editors' Introduction - Michael M. Richter, Carl H. Smith, Rolf Wiehagen and Thomas Zeugmann
open this document and view contents Learning Matrix Functions over Rings - Nader H. Bshouty, Christino Tamon and David K. Wilson
open this document and view contents Learning first order universal Horn expressions - Roni Khardon
open this document and view contents Learning with Refutation - Sanjay Jain
open this document and view contents Localization vs. Identification of Semi-Algebraic Sets - Shai Ben-David and Michael Lindenbaum
open this document and view contents A stochastic search approach to grammar induction - Hugues Juillé and Jordan B. Pollack
open this document and view contents Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm - Kevin J. Lang, Barak A. Pearlmutter and Rodney A. Price
open this document and view contents Co-Evolution in the Successful Learning of Backgammon Strategy - Jordan B. Pollack and Alan D. Blair
open this document and view contents Learning to locate an object in 3D space from a sequence of camera images - Dimitris Margaritis and Sebastian Thrun
open this document and view contents Multistrategy learning for information extraction - Dayne Freitag
open this document and view contents Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition - Javier R. Movellan and Paul Mineiro
open this document and view contents Choice of Basis for Laplace Approximation - David J. C. MacKay
open this document and view contents Comparing the Power of Probabilistic Learning and Oracle Identification under Monotonicity Constraints - Léa Meyer
open this document and view contents On the power of learning robustly - Sanjay Jain, Carl Smith and Rolf Wiehagen
open this document and view contents Learning Classification Programs: The Genetic Algorithm Approach - Attilio Giordana and Giuseppe Lo Bello
open this document and view contents Learning a subclass of linear languages from positive structural information - José M. Sempere and G. Nagaraja
open this document and view contents Individual learning of coordination knowledge - Sandip Sen and Mahendra Sekaran
open this document and view contents A game of prediction with expert advice - V. Vovk
open this document and view contents The Data Driven Approach Applied to the OSTIA Algorithm - José Oncina
open this document and view contents Combining labeled and unlabeled data with co-training - Avrim Blum and Tom Mitchell
open this document and view contents Near-optimal reinforcement learning in polynomial time - Michael Kearns and Satinder Singh
open this document and view contents A note on batch and incremental learnability - Arun Sharma
open this document and view contents On Learning Read-k-Satisfy-j DNF - Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt and Dan Roth
open this document and view contents On the power of decision lists - Richard Nock and Pascal Jappy
open this document and view contents Can Finite Samples Detect Singularities of Real-Valued Functions? - Shai Ben-David
open this document and view contents PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples - Philip M. Long and Lei Tan
open this document and view contents Proceedings of the Eleventh Annual Conference on Computational Learning Theory - Peter Bartlett and Yishay Mansour
open this document and view contents Minimax relative loss analysis for sequential prediction algorithms using parametric hypotheses - Kenji Yamanishi
open this document and view contents Intra-option learning about temporally abstract actions - Richard S. Sutton, Doina Precup and Satinder Singh
open this document and view contents Value function based production scheduling - Jeff G. Schneider, Justin A. Boyan and Andrew W. Moore
open this document and view contents Constructing predicate mappings for goal-dependent abstraction - Yoshiaki Okubo and Makoto Haraguchi
open this document and view contents Learning Algebraic Structures from Text Using Semantical Knowledge - Frank Stephan and Yuri Ventsov
open this document and view contents Learning one-variable pattern languages in linear average time - Rüdiger Reischuk and Thomas Zeugmann
open this document and view contents Synthesizing Learners Tolerating Computable Noisy Data - John Case and Sanjay Jain
open this document and view contents Learning collaborative information filters - Daniel Billsus and Michael J. Pazzani
open this document and view contents Solving a huge number of similar tasks: a combination of multi-task learning and a hierarchical Bayesian approach - Tom Heskes
open this document and view contents Learning agents for uncertain environments - Stuart Russell
open this document and view contents Grammar Model and Grammar Induction in the System NL PAGE - Vlado Kešelj
open this document and view contents Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions - Marc Fischlin
open this document and view contents Using a permutation test for attribute selection in decision trees - Eibe Frank and Ian H. Witten
open this document and view contents Using symbol clustering to improve probabilistic automaton inference - Pierre Dupont and Lin Chase
open this document and view contents Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries - Giovanna Melideo and Stefano Varricchio
open this document and view contents Using communication to reduce locality in distributed multiagent learning - Maja J. Mataric
open this document and view contents Finding tree patterns consistent with positive and negative examples using queries - Hiroki Ishizaka, Hiroki Arimura and Takeshi Shinohara
open this document and view contents A process-oriented heuristic for model selection - Pedro Domingos
open this document and view contents Self bounding learning algorithms - Yoav Freund
open this document and view contents A performance evaluation of automatic survey classifiers - P. Viechnicki
open this document and view contents On restricted-focus-of-attention learnability of Boolean functions - Andreas Birkendorf, Eli Dichterman, Jeffrey Jackson, Norbert Klasner and Hans Ulrich Simon
open this document and view contents Learnability of Translations from Positive Examples - Noriko Sugimoto
open this document and view contents Generalization and specialization strategies for learning r.e. languages - Sanjay Jain and Arun Sharma
open this document and view contents Improved lower bounds for learning from noisy examples: an information-theoretic approach - Claudio Gentile and David P. Helmbold
open this document and view contents Multi-criteria reinforcement learning - Zoltán Gábor, Zsolt Kalmár and Csaba Szepesvári
open this document and view contents Scalability Issues in Inductive Logic Programming - Stefan Wrobel
open this document and view contents Meaning helps learning syntax - Isabelle Tellier
open this document and view contents Employing EM and pool-based active learning for text classification - Andrew Kachites McCallum and Kamal Nigam
open this document and view contents Evolving structured programs with hierarchical instructions and skip nodes - Rafał Sałustowicz and Jürgen Schmidhuber
open this document and view contents Feature selection via concave minimization and support vector machines - Paul S. Bradley and Olvi L. Mangasarian
open this document and view contents Relative Sizes of Learnable Sets - Lance Fortnow, Rīsiņs Freivalds, William I. Gasarch, Martin Kummer, Stuart A. Kurtz, Carl H. Smith and Frank Stephan
open this document and view contents A learning rate analysis of reinforcement learning algorithms in finite-horizon - Frédérick Garcia and Seydina M. Ndiaye
open this document and view contents Learning first-order acyclic Horn programs from entailment - Chandra Reddy and Prasad Tadepalli
open this document and view contents Stochastic resonance with adaptive fuzzy systems - Sanya Mitaim and Bart Kosko
open this document and view contents Exact Learning of Discretized Geometric Concepts - Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldman and H. David Mathias
open this document and view contents Bayesian Landmark Learning for Mobile Robot Localization - Sebastian Thrun
open this document and view contents Tracking the Best Disjunction - Peter Auer and Manfred K. Warmuth
open this document and view contents Cross-validation for binary classification by real-valued functions: theoretical analysis - Martin Anthony and Sean B. Holden
open this document and view contents Logical Aspects of Several Bottom-Up Fittings - Akihiro Yamamoto
open this document and view contents Query learning strategies using boosting and bagging - Naoki Abe and Hiroshi Mamitsuka
open this document and view contents Structured Weight-Based Prediction Algorithms - Akira Maruoka and Eiji Takimoto
open this document and view contents Computational Aspects of Parallel Attribute-Efficient Learning - Peter Damaschke
open this document and view contents Learning a subclass of context-free languages - J. D. Emerald, K. G. Subramanian and D. G. Thomas
open this document and view contents A note on learning from multiple-instance examples - Avrim Blum and Adam Kalai
open this document and view contents Classification using Phi-machines and constructive function approximation - Doina Precup and Paul E. Utgoff
open this document and view contents Coevolutionary learning: a case study - Hugues Juille and Jordan B. Pollack
open this document and view contents Pattern discovery in biosequences - Alvis Brāzma, Inge Jonassen, Jaak Vilo and Esko Ukkonen
open this document and view contents A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions - Eiju Hirowatari and Setsuo Arikawa
open this document and view contents On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion - Alex J. Smola and Bernhard Schölkopf
open this document and view contents Pharmacophore discovery using the inductive logic programming system PROG0L - Paul Finn, Stephen Muggleton, David Page and Ashwin Srinivasan
open this document and view contents On the Sample Complexity for Neural Trees - Michael Schmitt
open this document and view contents How considering incompatible state mergins may reduce the DFA induction search tree - François Coste and Jacques Nicolas
open this document and view contents Learning regular grammars to model music style: comparing different coding schemes - Pedro P. Cruz-Alcázar and Enrique Vidal-Ruiz
open this document and view contents Guest editor's foreword - Robert E. Schapire
open this document and view contents Aspects of complexity of conservative probabilistic learning - Léa Meyer
open this document and view contents Elevator Group Control Using Multiple Reinforcement Learning Agents - Robert H. Crites and Andrew G. Barto
open this document and view contents A Class of Asymptotically Stable Algorithms for Learning-Rate Adaptation - S. M. Rüger
open this document and view contents Learning to drive a bicycle using reinforcement learning and shaping - Jette Randløv and Preben Alstrøm
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 Bayesian network classification with continuous attributes: getting the best of both discretization and parametric fitting - Nir Friedman, Moises Goldszmidt and Thomas J. Lee
open this document and view contents Efficient distribution-free population learning of simple concepts - Atsuyoshi Nakamura, Jun-ichi Takeuchi and Naoki Abe
open this document and view contents Characteristic Sets for Unions of Regular Pattern Languages and Compactness - Masako Sato, Yasuhito Mukouchi and Dao Zheng
open this document and view contents Knowledge-based learning in exploratory science: learning rules to predict rodent carcinogenicity - Yongwon Lee, Bruce G. Buchanan and John M. Aronis
open this document and view contents Heading in the right direction - Hagit Shatkay and Leslie P. Kaelbling
open this document and view contents Universal portfolio selection - V. Vovk and C. Watkins
open this document and view contents A randomized ANOVA procedure for comparing performance curves - Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang and Michael Atighetchi
open this document and view contents Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning - Shai Ben-David and Nadav Eiron
open this document and view contents The Kernel-Adatron algorithm: a fast and simple learning procedure for Support Vector machines - Thilo-Thomas Frieß, Nello Cristianini and Colin Campbell
open this document and view contents Lime: A System for Learning Relations - Eric McCreath and Arun Sharma
open this document and view contents KnightCap: a chess program that learns by combining TD(lambda) with game-tree search - Jonathan Baxter, Andrew Trigdell and Lex Weaver
open this document and view contents Using eligibility traces to find the best memoryless policy in partially observable Markov decision processes - John Loch and Satinder Singh
open this document and view contents An investigation of transformation-based learning in discourse - Ken Samuel, Sandra Carberry and K. Vijay-Shanker
open this document and view contents How to learn an unknown environment. I: the rectilinear case - Xiaotie Deng, Tiko Kameda and Christos Papadimitriou
open this document and view contents A new view of the EM algorithm that justifies incremental, sparse and other variants - R. M. Neal and G. E. Hinton
open this document and view contents Learning sorting and decision trees with POMDPs - Blai Bonet and Héctor Geffner
open this document and view contents Machine learning for the detection of oil spills in satellite radar images - Miroslav Kubat, Robert C. Holte and Stan Matwin
open this document and view contents Genetic programming and deductive-inductive learning: a multi-strategy approach - Ricardo Aler, Daniel Borrajo and Pedro Isasi
open this document and view contents Minimizing alpha-Information for Generalization and Interpretation - R. Kamimura
open this document and view contents Locally threshold testable languages in strict sense: Application to the inference problem - José Ruiz, Salvador España and Pedro Garciá
open this document and view contents A learning model for oscillatory networks - Jun Nishii
open this document and view contents Towards the Validation of Inductive Learning Systems - Gunter Grieser, Klaus P. Jantke and Steffen Lange
open this document and view contents Stochastic inference of regular tree languages - Rafael C. Carrasco, Jose Oncina and Jorge Calera
open this document and view contents Learning stochastic finite automata from experts - Colin de la Higuera
open this document and view contents Multiple-instance learning for natural scene classification - Oded Maron and Aparna Lakshmi Ratan
open this document and view contents Practical algorithms for on-line sampling - Carlos Domingo, Ricard Gavaldà and Osamu Watanabe
open this document and view contents Discovery of Differential Equations from Numerical Data - K. Niijima, H. Uchida, E. Hirowatari and S. Arikawa
open this document and view contents Strategy Under the Unknown Stochastic Environment: The Nonparametric Lob-Pass Problem - K. Hiraoka and S. Amari
open this document and view contents RL-TOPs: an architecture for modularity and re-use in reinforcement learning - Malcolm R. K. Ryan and Mark D. Pendrith
open this document and view contents Theory refinement for Bayesian networks with hidden variables - Sowmya Ramachandran and Raymond J. Mooney
open this document and view contents Classification using information - William Gasarch, Mark G. Pleszkoch, Frank Stephan and Mahendran Velauthapillai
open this document and view contents A polynomial time incremental algorithm for learning DFA - Rajes Parekh, Codrin Nichitiu and Vasant Honavar
open this document and view contents On Variants of Iterative Learning - Steffen Lange and Gunter Grieser
open this document and view contents Testing problems with sub-learning sample complexity - Michael Kearns and Dana Ron
open this document and view contents Approximate learning of random subsequential transducers - Antonio Castellanos
open this document and view contents Learning atomic formulas with prescribed properties - Irene Tsapara and György Turán
open this document and view contents Attribute-efficient learning in query and mistake-bound models - Nader Bshouty and Lisa Hellerstein
open this document and view contents Learning fuzzy decision trees - Bruno Apolloni, Giacomo Zamponi and Anna Maria Zanaboni
open this document and view contents Well-behaved Borgs, Bolos, and Berserkers - Diana F. Gordon
open this document and view contents Grammatical inference in document recognition - Alexander S. Saidi and Souad Tayeb-bey
open this document and view contents Analysis of Case-Based Representability of Boolean Functions by Monotone Theory - Ken Satoh
open this document and view contents Learning the grammar of dance - Joshua M. Stuart and Elizabeth Bradley
open this document and view contents Identification of noisy linear systems with discrete random input - E. Gassiat and E. Gautherat
open this document and view contents Convergence Rate of Minimization Learning for Neural Networks - M. H. Mohamed, T. Minamoto and K. Niijima
open this document and view contents An analysis of direct reinforcement learning in non-Markovian domains - Mark D. Pendrith and Michael J. McGarity
open this document and view contents Investigations on Measure-one Identification of Classes of Languages - Franco Montagna
open this document and view contents Birds can fly... - Jochen Nessel
open this document and view contents A Good Oracle Is Hard to Beat - Douglas A. Cenzer and William R. Moser
open this document and view contents Colearning in Differential Games - John W. Sheppard
open this document and view contents Closedness Properties in EX-identification of Recursive Functions - K. Aps\=ıtis, R. Freivalds, R. Simanovskis and J. Smotrovs
open this document and view contents Tracking the Best Expert - Mark Herbster and Manfred Warmuth
open this document and view contents Belief revision in the service of scientific discovery - Eric Martin and Daniel N. Osherson
open this document and view contents An analysis of actor/critic algorithms using eligibility traces: reinforcement learning with imperfect value functions - Hajime Kimura and Shigenobu Kobayashi
open this document and view contents A case study in the use of theory revision in requirements validation - T. L. McCluskey and M. M. West
open this document and view contents A fast, bottom-up decision tree pruning algorithm with near-optimal generalization - Michael Kearns and Yishay Mansour
open this document and view contents A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions - Avrim Blum, Alan M. Frieze, Ravi Kannan and Santosh Vempala
open this document and view contents Learning to recognize volcanoes on Venus - Michael C. Burl, Lars Asker, Padhraic Smyth, Usama Fayyad, Pietro Perona, Larry Crumpler and Jayne AubeIe
open this document and view contents PAC Learning Intersections of Halfspaces with Membership Queries - Stephen Kwek and Leonard Pitt
open this document and view contents Multiagent reinforcement learning: theoretical framework and an algorithm - Junling Hu and Michael P. Wellman
open this document and view contents Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach - Renato Vicente, Osame Kinouchi and Nestor Caticha
open this document and view contents Learning a language-independent representation for terms from a partially aligned corpus - Michael L. Littman, Fan Jiang and Greg A. Keim
open this document and view contents Learning from Entailment of Logic Programs with Local Variables - M. R. K. Krishna Rao and A. Sattar
open this document and view contents Comments on "Co-Evolution in the Successful Learning of Backgammon Strategy" - Gerald Tesauro
open this document and view contents Generating accurate rule sets without global optimization - Eibe Frank and Ian H. Witten
open this document and view contents Sequential prediction of individual sequences under general loss functions - D. Haussler, J. Kivinen and M. K. Warmuth
open this document and view contents Learning Sub-classes of Monotone DNF on the Uniform Distribution - Karsten A. Verbeurgt
open this document and view contents Local cascade generalization - João Gama
open this document and view contents Automatic segmentation of continuous trajectories with invariance to nonlinear warpings of time - Lawrence K. Saul
open this document and view contents The MAXQ method for hierarchical reinforcement learning - Thomas G. Dietterich
open this document and view contents Prequential and Cross-Validated Regression Estimation - Dharmendra S. Modha and Elias Masry
open this document and view contents Prediction, learning, uniform convergence, and scale-sensitive dimensions - Peter L. Bartlett and Philip M. Long
open this document and view contents Specification and simulation of statistical query algorithms for efficiency and noise tolerance - Javed A. Aslam and Scott E. Decatur
open this document and view contents On feature selection: learning with exponentially many irrelevant features as training examples - Andrew Y. Ng
open this document and view contents Ridge regression learning algorithm in dual variables - G. Saunders, A. Gammerman and V. Vovk
open this document and view contents A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases - Hiroki Arimura, Atsushi Wataki, Ryoichi Fujino and Setsuo Arikawa
open this document and view contents Approximating hyper-rectangles: Learning and pseudorandom sets - Peter Auer, Philip M. Long and Aravind Srinivasan
open this document and view contents Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving - Toshiharu Sugawara and Victor Lesser
open this document and view contents Extracting Hidden Context - Michael Bonnell Harries, Claude Sammut and Kim Horn
open this document and view contents The problem with noise and small disjuncts - Gary M. Weiss and Haym Hirsh
Augustopen this document and view contents Analyzing the Average-Case Behavior of Conjunctive Learning Algorithms - R. Reischuk and T. Zeugmann
Octoberopen this document and view contents Algorithmic Learning Theory, 9th International Conference, ALT '98, Otzenhausen, Germany, October 1998, Proceedings - Michael M. Richter and Carl H. Smith and Rolf Wiehagen and Thomas Zeugmann