A B C D E F G H I J-K L M N O P Q-R S T U V W-Z
View the documentA data dependent skeleton estimate for learning - Gábor Lugosi and Márta Pintér - 1996
View the documentData mining and machine learning abstract - Heikki Mannila - 1996
View the documentDebugging a DAG Efficiently - D. Angluin - 1987
View the documentDecision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications - D. Haussler - September 1992
View the documentA decision-theoretic generalization of on-line learning and an application to boosting - Yoav Freund and Robert E. Schapire - 1995
View the documentA Decision-Tree Model of Balance Scale Development - William C. Schmidt and Charles X. Ling - 1996
View the documentDeclarative Bias for Specific-to-General ILP Systems - Hilde Adé, Luc De Raedt and Maurice Bruynooghe - 1995
View the documentDeclarative bias in equation discovery - Ljupčo Todorovski and Sašo Džeroski - 1997
View the documentA decomposition based induction model for discovering concept clusters - N. Zhong and S. Ohsuga - 1993
View the documentDeductive learning - L. Valiant - 1984
View the documentDeductive plan generation - W. Bibel and M. Thielscher - 1994
View the documentDegrees of inferability - P. Cholak, R. Downey, L. Fortnow, W. Gasarch, E. Kinber, M. Kummer, S. Kurtz and T. Slaman - 1992
View the documentDelaying the choice of bias: a disjunctive version space approach - Michele Sebag - 1996
View the documentDense shattering and teaching dimensions for differentiable families - A. Kowalczyk - 1997
View the documentDensité et Dimension - P. Assouad - 1983
View the documentDerandomizing stochastic prediction strategies - V. Vovk - 1997
View the documentDerivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization - Manuela M. Veloso and Jaime G. Carbonell - 1993
View the documentDerivatives of tree sets with applications to grammatical inference - B. Levine - 1981
View the documentDerived sets and inductive inference - K. Apsītis - 1994
View the documentThe Design and Analysis of Efficient Learning Algorithms - R. E. Schapire - 1992
View the documentDesign issues for exemplary programming - D. A. F. W. S. K. P. R. S. J. Waterman and R. Wesson - 1980
View the documentDesign Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology - Peter D. Karp - 1993
View the documentThe Design of Discrimination Experiments - Shankar A. Rajamoney - 1993
View the documentDeterminate Literals in Inductive Logic Programming - J. R. Quinlan - 1991
View the documentDetermining Arguments of Invariant Functional Descriptions - Mieczyslaw M. Kokar - 1986
View the documentDeterministic Boltzmann Learning Performs Steepest Descent in Weight-Space - G. E. Hinton - 1989
View the documentDEXTER: a system that experiments with choices of training data using expert knowledge in the domain of DNA hydration - Dawn M. Cohen, Casimir Kulikowski and Helen Berman - 1995
View the documentA dichotomy theorem for learning quantified Boolean formulas - Victor Dalmau - 1997
View the documentDiscovering Dependencies via Algorithmic Mutual Information: A Case Study in DNA Sequence Comparisons - Aleksandar Milosavljevi\‘c - 1995
View the documentDiscovering solutions with low Kolmogorov complexity and high generalization capability - Jürgen Schmidhuber - 1995
View the documentDiscovering structure in multiple learning tasks: the TC algorithm - Sebastian Thrun and Joseph O’Sullivan - 1996
View the documentDiscovering the Structure of a Reactive Environment by Exploration - M. C. Mozer and J. Bachrach - November 1989
View the documentDiscovery as Autonomous Learning from the Environment - Wei-Min Shen - 1993
View the documentDiscovery by Minimal Length Encoding: A Case Study in Molecular Evolution - Aleksandar Milosavljević and Jerzy Jurka - 1993
View the documentDiscovery learning in intelligent tutoring systems - S. Otsuki - 1992
View the documentThe discovery of algorithmic probability: a guide for the programming of true creativity - Ray J. Solomonoff - 1995
View the documentA discrete model of semantic learning - P. A. Flanagan - 1981
View the documentDiscrete Sequence Prediction and Its Applications - Philip Laird and Ronald Saul - 1994
View the documentDiscretizing continuous attributes while learning Bayesian neworks - Nir Friedman and Moises Goldszmidt - 1996
View the documentThe disjunctive Learning Problem - M. Fulk - 1986
View the documentA Distance-Based Attribute Selection Measure for Decision Tree Induction - R. López De Mántaras - 1991
View the documentDistilling reliable information from unreliable theories - Sean P. Engelson and Moshe Koppel - 1995
View the documentDistributed Cooperative Bayesian Learning Strategies - Kenji Yamanishi - 1997
View the documentDistributed Representations, Simple Recurrent Networks, and Grammatical Structure - Jeffrey L. Elman - 1991
View the documentDistributional Expectations and the Induction of Category Structure - M. J. Flannagan, L. S. Fried and K. J. Holyoak - 1986
View the documentA Distribution-Free Performance Bound in Error Estimation - L. P. Devroye and T. J. Wagner - 1976
View the documentDistribution-Free Performance Bounds with the Resubstitution Error Estimate - L. P. Devroye and T. J. Wagner - 1979
View the documentDiversity-Based Inference of Finite Automata - R. E. Schapire - May 1988
View the documentDiversity-based inference of finite automata - R. L. Rivest and R. E. Schapire - 1987
View the documentDNF - if you can’t learn ’em, teach ’em: an interactive model of teaching - David H. Mathias - 1995
View the documentDomains of attraction in autoassociative memory networks for character pattern recognition - K. Niijima - 1992
View the documentDominating distributions and learnability - G. M. Benedek and A. Itai - 1992
View the documentThe dual DFA learning problem: hardness results for programming by demonstration and learning first-order representations - William W. Cohen - 1996
View the documentDynamic Parameter Encoding for Genetic Algorithms - Nicol N. Schraudolph and Richard K. Belew - 1992