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 documentPAB-decisions for Boolean and real-valued features - S. Anoulova, P. Fischer, S. Pölt and H. U. Simon - 1992
View the documentPAC Adaptive Control of Linear Systems - Claude-Nicolas Fiechter - 1997
View the documentA PAC Analysis of a Bayesian Estimator - John Shawe-Taylor and Robert C. Williamson - 1997
View the documentPAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples - Philip M. Long and Lei Tan - 1996
View the documentPAC learning intersections of halfspaces with membership queries - Stephen Kwek and Leonard Pitt - 1996
View the documentPAC Learning of One-Dimensional Patterns - Paul W. Goldberg, Sally A. Goldman and Stephen D. Scott - 1996
View the documentPAC learning with constant-partition classification noise and applications to decision tree induction - Scott Decatur - 1997
View the documentPAC learning with generalized samples and an application to stochastic geometry - S. R. Kulkarni, S. K. Mitter, J. N. Tsitsiklis and O. Zeitouni - 1992
View the documentPAC learning with irrelevant attributes - Aditi Dhagat and Lisa Hellerstein - 1994
View the documentPAC-learnability of determinate logic programs - S. Duzeroski, S. Muggleton and S. Russell - 1992
View the documentPac-Learning a Restricted Class of Recursive Logic Programs - William Cohen - 1993
View the documentPAC-like upper bounds for the sample complexity of leave-one-out cross-validation - Sean B. Holden - 1996
View the documentPAL: A Pattern and dash;Based First and dash;Order Inductive System - Eduardo F. Morales - 1997
View the documentPALO: A probabilistic hill-climbing algorithm - Russell Greiner - July 1996
View the documentParallel Distributed Processing - Explorations in the Microstructure of Cognition - J. L. McClelland, D. E. Rumelhart and t. P. R. Group - 1986
View the documentParallel Distributed Processing Volume I: Foundations - D. E. Rumelhart and J. L. McClelland - 1986
View the documentA Parallel Network that Learns to Play Backgammon - G. Tesauro and T. J. Sejnowski - 1989
View the documentParallel Networks that Learn to Pronounce English Text - T. J. Sejnowski and C. R. Rosenberg - February 1987
View the documentParameterized learning complexity - R. Downey, P. Evans and M. Fellows - 1993
View the documentA parametrization scheme for classifying models of learnability - S. Ben-David, G. M. Benedek and Y. Mansour - 1989
View the documentThe Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces - Andrew W. Moore and Christopher G. Atkeson - 1995
View the documentPassive distance learning for robot navigation - Sven Koenig and Reid G. Simmons - 1996
View the documentPattern Classification and Scene Analysis - R. O. Duda and P. E. Hart - 1973
View the documentA Pattern Classification Approach to Evaluation Function Learning - K. Lee and S. Mahajan - August 1988
View the documentPattern languages are not learnable - R. E. Schapire - 1990
View the documentPattern Recognition and Valiant’s Learning Framework - L. Saitta and F. Bergadano - February 1993
View the documentPattern recognition as rule guided inductive inference - R. Michalski - 1980
View the documentThe Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain - F. Rosenblatt - 1958
View the documentThe Perceptron Algorithm is Fast for Nonmalicious Distributions - E. B. Baum - 1990
View the documentThe perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant - Jyrki Kivinen and Manfred K. Warmuth - 1995
View the documentPerceptrons - M. Minsky and S. Papert - 1969
View the documentA perceptual criterion for visually controlling learning - M. Suwa and H. Motoda - 1993
View the documentPerformance bounds for nonlinear time series prediction - Ron Meir - 1997
View the documentPerformance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks - Peter C. Y. Chen, James K. Mills and Kenneth C. Smith - 1996
View the documentPerformance of a Stochastic Learning Chip - J. Alspector and R. B. Allen - 1989
View the documentPeriodicity in generations of automata - J. Case - 1974
View the documentPessimistic decision tree pruning based on tree size - Yishay Mansour - 1997
View the documentPhoneme Recognition Using Time-Delay Neural Networks - A. Waibel, T. Hanazawa, G. Ginton and K. Shikano - 1987
View the documentA Physiological Basis for a Theory of Synapse Modification - M. F. Bear, L. N. Cooper and F. F. Ebner - July 3 1987
View the documentPiecemeal graph exploration by a mobile robot - Baruch Awerbuch, Margrit Betke, Ronald L. Rivest and Mona Singh - 1995
View the documentPiecemeal learning of an unknown environment - Margrit Betke, Ronald L. Rivest and Mona Singh - 1995
View the documentPlanning and learning in permutation groups - A. Fiat, S. Moses, A. Shamir, I. Shimshoni and G. Tardos - 1989
View the documentPlanning with abstraction based on partial predicate mappings - Y. Okubo and M. Haraguchi - 1992
View the documentPlausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies - Gheorghe Tecuci - 1993
View the documentPlaying the matching-shoulders lob-pass game with logarithmic regret - J. Kilian, K. J. Lang and B. A. Pearlmutter - 1994
View the documentA Polynomial Approach to the Constructive Induction of Structural Knowledge - Jörg-Uwe Kietz and Katharina Morik - 1994
View the documentPolynomial bounds for VC dimension of sigmoidal neural networks - Marek Karpinski and Angus Macintyre - 1995
View the documentPolynomial Learnability as a Formal Model of Natural Language Acquisition - Naoki Abe - 1989
View the documentPolynomial learnability of linear threshold approximations - T. Bylander - 1993
View the documentPolynomial learnability of probabilistic concepts with respect to the Kullback-Leibler divergence - N. Abe, J. Takeuchi and M. K. Warmuth - 1991
View the documentPolynomial learning of semilinear sets - N. Abe - 1989
View the documentA polynomial time algorithm that learns two hidden net units - E. Baum - 1990
View the documentPolynomial time algorithms for learning neural nets - E. B. Baum - 1990
View the documentPolynomial time inference of a subclass of context-free transformations - H. Arimura, H. Ishizaka and T. Shinohara - 1992
View the documentPolynomial time Inference of Arbitrary Pattern Languages - S. Lange and R. Wiehagen - 1991
View the documentPolynomial Time Inference of Extended Regular Pattern Languages - T. Shinohara - 1982
View the documentPolynomial time inference of pattern languages and its applications - T. Shinohara - 1982
View the documentPolynomial time inference of unions of tree pattern languages - H. Arimura, T. Shinohara and S. Otsuki - 1992
View the documentPolynomial time learnability of simple deterministic languages - H. Ishizaka - 1990
View the documentPolynomial time learning with version spaces - Haym Hirsh - 1992
View the documentPolynomial uniform convergence and polynomial-sample learnability - A. Bertoni, P. Campadelli, A. Morpurgo and S. Panizza - 1992
View the documentPolynomially Sized Boolean Circuits are not Learnable - D. Beaver - December 1987
View the documentPolynomially Sparse Variations and Reducibility among prediction problems - N. Abe and O. Watanabe - July 1992
View the documentA polynomial-time algorithm for learning k-variable pattern languages from examples - M. Kearns and L. Pitt - 1989
View the documentPolynomial-time identification of very regular languages in the limit - N. Tanida and T. Yokomori - 1992
View the documentPolynomial-time inference of all valid implications for Horn and related formulae - E. Boros, Y. Crama and P. L. Hammer - 1990
View the documentPolynomial-time inference of general pattern languages - K. P. Jantke - 1984
View the documentPolynomial-time learning of very simple grammars from posistive data - T. Yokomori - 1991
View the documentPolynomial-time MAT learning of multilinear logic programs - K. Ito and A. Yamamoto - 1992
View the documentThe Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length - Dana Ron, Yoram Singer and Naftali Tishby - 1996
View the documentThe Power of Pluralism for Automatic Program Synthesis - C. Smith - 1982
View the documentThe Power of Prob in Popperian FINite learning - R. Daley, B. Kalyanasundaram and M. Velauthapillai - 1994
View the documentThe power of procrastination in inductive inference: how it depends on used ordinal notations - Andris Ambainis - 1995
View the documentThe Power of Self-Directed Learning - S. A. Goldman and R. H. Sloan - 1994
View the documentThe power of team exploration: two robots can learn unlabeled directed graphs - Michael A. Bender and Donna K. Slonim - 1994
View the documentThe power of vacillation - J. Case - 1988
View the documentA powerful heuristic for the discovery of complex patterned behavior - Raúl E. Valdés-Pérez and Aurora Pérez - 1994
View the documentPractical Issues in Temporal Difference Learning - Gerald Tesauro - 1992
View the documentPractical PAC Learning - Dale Schuurmans and Russell Greiner - 1995
View the documentPredicting {0,1} Functions on Randomly Drawn Points - D. Haussler, N. Littlestone and M. K. Warmuth - 1994
View the documentPredicting a binary sequence almost as well as the optimal biased coin - Yoav Freund - 1996
View the documentPredicting multiprocessor memory access patterns with learning models - M. F. Sakr, S. P. Levitan, D. M. Chiarulli, B. G. Horne and C. L. Giles - 1997
View the documentPredicting nearly as well as the best pruning of a decision tree - D. P. Helmbold and R. E. Schapire - 1995
View the documentPredicting the Future: A Connectionist Approach - A. Weigend, B. Huberman and D. Rumelhart - 1990
View the documentPrediction and limiting synthesis of recursively enumerable classes of functions - J. M. Barzdin and R. Freivalds - 1974
View the documentPrediction Preserving Reducibility - L. Pitt and M. K. Warmuth - December 1990
View the documentPredictive Hebbian learning - Terrence J. Sejnowski, Peter Dayan and P. Read Montague - 1995
View the documentPreliminary study on program synthesis based on induction and verification - K. Furukawa - 1992
View the documentPrequential Analysis, Stochastic Complexity and Bayesian Inference - A. P. Dawid
View the documentPreservation of predictability under polynomially sparse variations and its applications - N. Abe - 1992
View the documentPreventing Overfitting of cross-validation data - Andrew Y. Ng - 1997
View the documentPrioritized Sweeping: Reinforcement Learning With Less Data and Less Time - Andrew W. Moore and Christopher G. Atkeson - 1993
View the documentA probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization - Thorsten Joachims - 1997
View the documentProbabilistic and team PFIN-type learning: general properties - Andris Ambainis - 1996
View the documentA probabilistic approach to feature selection - a filter solution - Huan Liu and Rudy Setiono - 1996
View the documentProbabilistic Hill-Climbing: Theory and Applications - Russell Greiner - June 1992
View the documentProbabilistic Inductive Inference - L. Pitt - 1989
View the documentProbabilistic Inductive Inference Ph.D Thesis - L. Pitt - 1985
View the documentProbabilistic instance-based learning - Henry Tirri, Petri Kontkanen and Petri Myllymäki - 1996
View the documentProbabilistic language learning under monotonicity constraints - Léa Meyer - 1995
View the documentProbabilistic linear tree - João Gama - 1997
View the documentProbabilistic Program Synthesis - K. Podnieks - 1977
View the documentProbabilistic synthesis of enumerated classes of functions - K. M. Podnieks - 1975
View the documentProbabilistic Versus Deterministic Inductive Inference in Nonstandard Numberings - R. Freivalds, E. B. Kinber and R. Wiehagen - 1988
View the documentProbability and confirmation - H. Putnam - 1975
View the documentProbability and Measure - Patrick Billingsley - 1986
View the documentProbability and Plurality for Aggregations of Learning Machines - L. Pitt and C. Smith - 1988
View the documentProbability inequalities for sums of bounded random variables - W. Hoeffding - March 1963
View the documentProbability is more powerful than team for language identification from positive data - S. Jain and A. Sharma - 1993
View the documentProbability Matching, the Magnitude of Reinforcement, and Classifier System Bidding - David E. Goldberg - 1990
View the documentProbably almost Bayes decisions - P. Fischer, S. Pölt and H. U. Simon - 1991
View the documentProbably Almost Discriminative Learning - Kenji Yamanishi - 1995
View the documentProbably Approximate Learning of Sets and Functions - B. K. Natarajan - April 1991
View the documentProbably Approximately Correct Learning - D. Haussler - 1990
View the documentThe Probably Approximately Correct PAC and Other Learning Models - D. Haussler and M. K. Warmuth - 1993
View the documentProbably Approximately Optimal Derivation Strategies - Russell Greiner and Pekka Orponen - April 1991
View the documentProbably Approximately Optimal Satisficing Strategies - Russell Greiner and Pekka Orponen - April 1996
View the documentProbably-Approximate Learning over Classes of Distributions - B. K. Natarajan - 1989
View the documentThe ‘lob-pass’ problem and an on-line learning model of rational choice - N. Abe and J. Takeuchi - 1993
View the documentThe Problem of Expensive Chunks and its Solution by Restricting Expressiveness - Milind Tambe, Allen Newell and Paul S. Rosenbloom - 1990
View the documentProblems in Inductive Inference - J. Case - 1982
View the documentProblems of computational and information complexity in machine vision and learning - S. R. Kulkarni - 1991
View the documentProc. 1st Annu. Workshop on Comput. Learning Theory - D. Haussler and L. Pitt - 1988
View the documentProc. 2nd Annu. Workshop on Comput. Learning Theory - R. Rivest and D. Haussler and M. K. Warmuth - 1989
View the documentProc. 3rd Annu. Workshop on Comput. Learning Theory - M. Fulk and J. Case - 1990
View the documentProc. 4th Annu. Workshop on Comput. Learning Theory - L. Valiant and M. Warmuth - 1991
View the documentProc. 5th Annu. Workshop on Comput. Learning Theory - B. Daley and D. Haussler - 1992
View the documentProc. of the First International Workshop on Algorithmic Learning Theory - S. Arikawa and S. Goto and S. Ohsuga and T. Yokomori - 1990
View the documentProc. of the Second International Workshop on Algorithmic Learning Theory - S. Arikawa and A. Maruoka and T. Sato - 1991
View the documentPrognostication of automata and functions - J. M. Barzdin - 1971
View the documentProgram Construction From Examples - P. D. Summers - 1976
View the documentProgram Size and Teams for Computational Learning - A. Sharma - 1990
View the documentProgram size in restricted programming languages - A. Meyer - 1972
View the documentProgram Size Restrictions in Computational Learning - S. Jain and A. Sharma - 1994
View the documentProgram Size Restrictions in Inductive Learning - S. Jain and A. Sharma - 1990
View the documentProgram Synthesis in the Presence of Infinite Number of Inaccuracies - S. Jain - October 1994
View the documentProjection Pursuit - Peter J. Huber - 1985
View the documentProjection Pursuit Regression - J. H. Friedman and W. Stuetzle - December 1981
View the documentProper learning algorithm for functions of k terms under smooth distributions - Yoshifumi Sakai, Eiji Takimoto and Akira Maruoka - 1995
View the documentProperties of language classes with finite elasticity - T. Moriyama and M. Sato - 1993
View the documentProtein folding: symbolic refinement competes with neural networks - Susan Craw and Paul Hutton - 1995
View the documentProtein secondary structure prediction based on stochastic-rule learning - H. Mamitsuka and K. Yamanishi - 1992
View the documentPrototype and feature selection by sampling and random mutation hill climbing algorithms - David B. Skalak - 1994
View the documentPrototype Nonintrusive Appliance Load Monitor - G. W. Hart - September 1985
View the documentProving based on similarity - K. Fujita and M. Harao - 1992
View the documentPrudence and Other Conditions on Formal Language Learning - M. Fulk - 1990
View the documentPrudence in Language Learning - S. A. Kurtz and J. S. Royer - 1988
View the documentPrudence in Vacillatory Language Identification - S. Jain and A. Sharma - 1995
View the documentPruning adaptive boosting - Dragos D. Margineantu and Thomas G. Dietterich - 1997
View the documentPruning Algorithms for Rule Learning - Frnkranz Johannes - 1997
View the documentPurposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning - Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida and Koh Hosoda - 1996