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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
1991open this document and view contents Information-Based Evaluation Criterion for Classifier's Performance - Igor Kononenko and Ivan Bratko
open this document and view contents Self-learning reaching motion of a multi-joint arm using a trial-and-error heuristic and a neural network - K. Amakawa
open this document and view contents Learning to Perceive and Act by Trial and Error - Steven D. Whitehead and Dana H. Ballard
open this document and view contents Symbolic and Neural Learning Algorithms: An Experimental Comparison - Jude W. Shavlik, Raymond J. Mooney and Geoffrey G. Towell
open this document and view contents Tracking drifting concepts using random examples - D. P. Helmbold and P. M. Long
open this document and view contents Machine Learning: A Theoretical Approach - B. K. Natarajan
open this document and view contents Learnability with respect to Fixed Distributions - Gyora M. Benedek and Alon Itai
open this document and view contents Rigel: An Inductive Learning System - Roberto Gemello, Franco Mana and Lorenza Saitta
open this document and view contents A Reply to Reich's Book Review of Exemplar-Based Knowledge Acquisition - Ray Bareiss
open this document and view contents Rapid Construction of algebraic axioms from samples - J. M. Barzdin and G. Barzdin
open this document and view contents Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks - David Servan-Schreiber, Axel Cleeremans and James L. Mcclelland
open this document and view contents Learning curves in large neural networks - H. Sompolinsky, H. S. Seung and N. Tishby
open this document and view contents Computational Learning of Languages - Shyam Kapur
open this document and view contents How to learn in an unknown environment - X. Deng, T. Kameda and C. Papadimitriou
open this document and view contents The VC-dimension vs. the statistical capacity for two layer networks with binary weights - C. Ji and D. Psaltis
open this document and view contents Learning Automata from Ordered Examples - Sara Porat and Jerome A. Feldman
open this document and view contents Back Propagation Separates Where Perceptrons Do - E. D. Sontag and H. J. Sussmann
open this document and view contents Learning regular languages from counterexamples - Oscar H. Ibarra and Tao Jiang
open this document and view contents On the computational power of sigmoid versus Boolean threshold circuits - W. Maass, G. Schnitger and E. D. Sontag
open this document and view contents A Critical Look at Experimental Evaluations of EBL - Alberto Segre, Charles Elkan and Alexander Russell
open this document and view contents The Use of Background Knowledge in Decision Tree Induction - Marlon Núñez
open this document and view contents Learning in the Presence of Partial Explanations - S. Jain and A. Sharma
open this document and view contents Improved Estimates for the Accuracy of Small Disjuncts - J. R. Quinlan
open this document and view contents Reinforcement Learning Architectures for Animats - R. S. Sutton
open this document and view contents SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments - Michael C. Mozer and Jonathan Bachrach
open this document and view contents The Induction of Dynamical Recognizers - Jordan B. Pollack
open this document and view contents Measurability Constraints on PAC Learnability - S. Ben-David and G. M. Benedek
open this document and view contents Monotonic and Non-monotonic Inductive Inference - K. P. Jantke
open this document and view contents Universal Portfolios - T. M. Cover
open this document and view contents Exemplar-Based Knowledge Acquisition - Yoram Reich
open this document and view contents Instance-Based Learning Algorithms - David W. Aha, Dennis Kibler and Marc K. Albert
open this document and view contents Determinate Literals in Inductive Logic Programming - J. R. Quinlan
open this document and view contents The correct definition of finite elasticity: corrigendum to Identification of unions - T. Motoki, T. Shinohara and K. Wright
open this document and view contents Learning Time-Varying Concepts - A. Kuh, T. Petsche and R. L. Rivest
open this document and view contents Unsupervised learning of distributions on binary vectors using two layer networks - Y. Freund and D. Haussler
open this document and view contents Navigating in Unfamiliar Geometric Terrain - A. Blum, P. Raghavan and B. Schieber
open this document and view contents Probably almost Bayes decisions - P. Fischer, S. Pölt and H. U. Simon
open this document and view contents Book Review - Roland J. Zito-Wolf
open this document and view contents Computational complexity of learning read-once formulas over different bases - L. Hellerstein and M. Karpinski
open this document and view contents A Reply to Zito-Wolf's Book Review of Learning Search Control Knowledge: An Explanation-Based Approach - Steven Minton
open this document and view contents Testing finite state machines - M. Yannakakis and D. Lee
open this document and view contents Machine Learning - R. L. Rivest and W. Remmele
open this document and view contents A `PAC' Algorithm for Making Feature Maps - Philip Laird and Evan Gamble
open this document and view contents Searching in the presence of linearly bounded errors - J. A. Aslam and A. Dhagat
open this document and view contents Evaluating the performance of a simple inductive procedure in the presence of overfitting error - A. Nobel
open this document and view contents Synthesis of Rewrite Programs by Higher-Order and Semantic Unification - M. Hagiya
open this document and view contents A Nearest Hyperrectangle Learning Method - Steven Salzberg
open this document and view contents Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow - N. Littlestone
open this document and view contents Exact learning of read-twice DNF formulas - H. Aizenstein and L. Pitt
open this document and view contents Learning monotone DNF with an incomplete membership oracle - D. Angluin and D. K. Slonim
open this document and view contents Learning 2mu-DNF formulas and k mu decision trees - T. R. Hancock
open this document and view contents On computing decision regions with neural nets - Leong Kwan Li
open this document and view contents One-Sided Error Probabilistic Inductive Inference and Reliable Frequency Identification - Efim Kinber and Thomas Zeugmann
open this document and view contents Investigating the distribution assumptions in the PAC learning model - P. L. Bartlett and R. C. Williamson
open this document and view contents Theory of Learning: What's Hard and What's Easy to Learn - R. L. Rivest
open this document and view contents Nonmonotonic Reasoning: Logical Foundations of Commonsense - G. Brewka
open this document and view contents Complexity results on learning by neural networks - J-H. Lin and J. S. Vitter
open this document and view contents Monotonic and Nonmonotonic Inductive Inference of Functions and Patterns - K. P. Jantke
open this document and view contents Letter Recognition Using Holland-Style Adaptive Classifiers - Peter W. Frey and David J. Slate
open this document and view contents Mistake bounds of incremental learners when concepts drift with applications to feedforward networks - T. Kuh, T. Petsche and R. Rivest
open this document and view contents Learning by smoothing: a morphological approach - W. M. Kim
open this document and view contents Learning simple concepts under simple distributions - M. Li and P. M. B. Vitanyi
open this document and view contents Introduction - David S. Touretzky
open this document and view contents Computer Systems that Learn - S. Weiss and C. Kulikowski
open this document and view contents On learning binary weights for majority functions - S. S. Venkatesh
open this document and view contents Inductive Logic Programming - S. Muggleton
open this document and view contents Learning with many irrelevant features - Hussein Almuallim and Thomas G. Dietterich
open this document and view contents Elements of Information Theory - T. Cover and J. Thomas
open this document and view contents Problems of computational and information complexity in machine vision and learning - S. R. Kulkarni
open this document and view contents Teachability in Computational Learning - A. Shinohara and S. Miyano
open this document and view contents A loss bound model for on-line stochastic prediction strategies - K. Yamanishi
open this document and view contents Neural net algorithms that learn in polynomial time from examples and queries - E. Baum
open this document and view contents Adaptive Filter Theory - S. Haykin
open this document and view contents On the learnability of infinitary regular sets - O. Maler and A. Pneuli
open this document and view contents A view of computational learning theory - Leslie Valiant
open this document and view contents A geometric approach to threshold circuit complexity - V. Roychowdhury, K. Siu, A. Orlitsky and T. Kailath
open this document and view contents Can neural networks do better than the Vapnik-Chervonenkis bounds? - G. Tesauro and D. Cohn
open this document and view contents On-line learning with an oblivious environment and the power of randomization - W. Maass
open this document and view contents The role of learning in autonomous robots - R. Brooks
open this document and view contents Mathematical Theory of Neural Learning - S. Amari
open this document and view contents A Distance-Based Attribute Selection Measure for Decision Tree Induction - R. López De Mántaras
open this document and view contents Relations between probabilistic and team one-shot learners - R. Daley, L. Pitt, M. Velauthapillia and T. Will
open this document and view contents Inductive Inference of Monotonic Formal Systems From Positive Data - Takeshi Shinohara
open this document and view contents Inductive Inference and Unsolvability - Leonard M. Adleman and M. Blum
open this document and view contents Learning read-once formulas over fields and extended bases - T. Hancock and L. Hellerstein
open this document and view contents Learning Commutative Deterministic Finite State Automata in Polynomial Time - N. Abe
open this document and view contents Learning to Predict Non-Deterministically Generated Strings - Moshe Koppel
open this document and view contents Distributed Representations, Simple Recurrent Networks, and Grammatical Structure - Jeffrey L. Elman
open this document and view contents Fast identification of geometric objects with membership queries - W. J. Bultman and W. Maass
open this document and view contents Polynomial learnability of probabilistic concepts with respect to the Kullback-Leibler divergence - N. Abe, J. Takeuchi and M. K. Warmuth
open this document and view contents Calculation of the learning curve of Bayes optimal classification algorithm for learning a perceptron with noise - M. Opper and D. Haussler
open this document and view contents On the Role of Interpretive Analogy in Learning - B. Indurkhya
open this document and view contents Conflict Resolution as Discovery in Particle Physics - Sakir Kocabas
open this document and view contents Learning Search Control Knowledge: An Explanation-Based Approach - Roland J. Zito-Wolf
open this document and view contents An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples - Renée Elio and Larry Watanabe
open this document and view contents Applications of Learning Theorems - V. Faber and J. Mycielski
open this document and view contents Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs - Thomas G. Dietterich and Ghulum Bakiri
open this document and view contents Simultaneous learning of concepts and simultaneous estimation of probabilities - K. Buescher and P. R. Kumar
open this document and view contents Proceedings of the Second International Workshop on Algorithmic Learning Theory - S. Arikawa and A. Maruoka and T. Sato
open this document and view contents Learning monotone k mu-DNF formulas on product distributions - T. Hancock and Y. Mansour
open this document and view contents Polynomial-time learning of very simple grammars from positive data - T. Yokomori
open this document and view contents When oracles do not help - T. A. Slaman and R. M. Solovay
open this document and view contents A Loss-Bound Model for On-line Stochastic Prediction Strategies - K. Yamanishi
open this document and view contents Improved learning of AC0 functions - M. L. Furst, J. C. Jackson and S. W. Smith
open this document and view contents Proceedings of the Fourth Annual Workshop on Computational Learning Theory - Leslie G. Valiant and Manfred K. Warmuth
open this document and view contents Polynomial-time inference of arbitrary pattern languages - S. Lange and R. Wiehagen
Januaryopen this document and view contents Learning the fourier spectrum of probabilistic lists and trees - W. Aiello and M. Mihail
open this document and view contents Results on Learnability and the Vapnik-Chervonenkis Dimension - N. Linial, Y. Mansour and R. L. Rivest
Marchopen this document and view contents Restrictions on Grammar Size in Language Identification - S. Jain and A. Sharma
open this document and view contents On Learning from Queries and Counterexamples in the Presence of Noise - Y. Sakakibara
Aprilopen this document and view contents Probably Approximate Learning of Sets and Functions - B. K. Natarajan
open this document and view contents Probably Approximately Optimal Derivation Strategies - Russell Greiner and Pekka Orponen
Juneopen this document and view contents A Universal Inductive Inference Machine - Daniel N. Osherson, Michael Stob and Scott Weinstein
open this document and view contents Testing As A Dual To Learning - K. Romanik
Augustopen this document and view contents Knowledge compilation using Horn approximations - Bart Selman and Henry Kautz
Septemberopen this document and view contents N-Learners Problem: Fusion of Concepts - N. S. V. Rao, E. M. Oblow, C. W. Glover and G. E. Liepins
Octoberopen this document and view contents Algorithmic Learning of Formal Languages and Decision Trees - Y. Sakakibara
Decemberopen this document and view contents Inferring a Tree from Walks - O. Maruyama and S. Miyano
open this document and view contents Equivalence of Models for Polynomial Learnability - D. Haussler, M. Kearns, N. Littlestone and M. K. Warmuth