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 documentMachine Discovery in the Presence of Incomplete or Ambiguous Data - S. Lange and P. Watson - 1994
View the documentMachine Discovery of Effective Admissible Heuristics - Armand E. Prieditis - 1993
View the documentMachine discovery of protein motifs - Darrell Conklin - 1995
View the documentMachine induction without revolutionary paradigm shifts - John Case, Sanjay Jain and Arun Sharma - 1995
View the documentMachine Inductive Inference and Language Identification - J. Case and C. Lynes - 1982
View the documentMachine Learning - R. L. Rivest and W. Remmele - 1991
View the documentMachine Learning - R C. J. Michalski and T. Mitchell - 1983
View the documentMachine Learning: A Maturing Field - Jaime Carbonell - 1992
View the documentMachine Learning: A Theoretical Approach - Lisa Hellerstein - 1993
View the documentMachine Learning: A Theoretical Approach - B. K. Natarajan - 1991
View the documentMachine Learning: An Artificial Intelligence Approach - Y. Kodratoff and R. S. Michalski - 1990
View the documentMachine Learning: An Artificial Intelligence Approach 1 - R. S. Michalski and J. G. Carbonell and T. M. Mitchell - 1983
View the documentMachine Learning: An Artificial Intelligence Approach 2 - R. S. Michalski and J. G. Carbonell and T. M. Mitchell - 1986
View the documentMachine Learning and Concept Formation - P. Langley - 1987
View the documentMachine Learning and Discovery - Pat Langley and Ryszard S. Michalski - 1986
View the documentMachine Learning and Grammar Induction - P. Langley - 1987
View the documentMachine Learning and Qualitative Reasoning - Ivan Bratko - 1994
View the documentMachine learning and qualitative reasoning, extended abstract - Ivan Bratko - 1994
View the documentMachine Learning as an Experimental Science - P. Langley - 1988
View the documentMachine learning by function decomposition - Blaž Zupan, Marko Bohanec, Ivan Bratko and Janez Demšar - 1997
View the documentMachine Learning: From Theory to Applications; Cooperative Research at Siemens and MIT - S. J. Hanson and W. Remmele - 1993
View the documentMachine Learning of Higher Order Programs - G. Baliga, J. Case, S. Jain and M. Suraj - 1994
View the documentMachine Learning of Inductive Bias - P. E. Utgoff - 1986
View the documentMachine Learning of Nearly Minimal Size Grammars - J. Case and H. Chi - 1986
View the documentMachine Learning: Paradigms and Methods - J. C. Editor - 1990
View the documentMachine Learning Research at MIT - R. L. Rivest and P. Winston - 1990
View the documentMachine Learning: the Human Connection - R. L. Rivest and W. Remmele - March / April 1988
View the documentA Machine That Learns - W. G. Walter - August 1951
View the documentMade-up Minds: A Constructivist Approach to Artificial Intelligence - G. L. Drescher - September 1989
View the documentMarkov decision processes in large state spaces - Lawrence K. Saul and Satinder P. Singh - 1995
View the documentMarkov games as a framework for multi-agent reinforcement learning - Michael L. Littman - 1994
View the documentA Markovian extension of Valiant’s learning model - D. Aldous and U. Vazirani - 1990
View the documentMaryanski’s grammatical inferencer - B. R. Gaines - January 1979
View the documentThe Mathematical Foundations of Learning Machines - N. J. Nilsson - 1990
View the documentMathematical learning theory: a formalized, axiomatic, abstract approach - R. J. Hendel - 1979
View the documentMathematical/Mechanical? Learners pay a price for Bayesianism - D. N. Osherson, M. Stob and S. Weinstein - 1988
View the documentMatters Horn and Other Features in the Computational Learning Theory Landscape: The Notion of Membership - M. Frazier - 1994
View the documentMaximum-likelihood from Incomplete Data via the EM Algorithm - A. P. Dempster, N. M. Laird and D. B Rubin - 1977
View the documentMDL and categorical theories continued - J. R. Quinlan - 1995
View the documentMDL learning of unions of simple pattern languages from positive examples - Pekka Kilpeläinen, Heikki Mannila and Esko Ukkonen - 1995
View the documentA Mean Field Theory Learning Algorithm for Neural Networks - C. Peterson and J. R. Anderson - 1987
View the documentMeasurability Constraints on PAC Learnability - S. Ben-David and G. M. Benedek - 1991
View the documentA measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations - H. Chernoff - 1952
View the documentA mechanical method of successful ascientific inquiry - D. N. Osherson, M. Stob and S. Weinstein - 1990
View the documentA Mechanism for Early Piagetian Learning - G. L. Drescher - July 1987
View the documentA Method for Inferring Context-Free Grammars - B. Knobe and K. Knobe - 1976
View the documentA Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space - J. Gordon and E. H. Shortliffe - July 1985
View the documentA method for obtaining digital signatures and public key cryptosytems - R. L. Rivest, A. Shamir and L. Adleman - 1978
View the documentA Method of Computing Generalized Bayesian Probability Values for Expert Systems - P. C. Cheeseman - August 1983
View the documentA methodology for LISP program construction from examples - P. D. Summers - January 1977
View the documentA metric entropy bound is not sufficient for learnability - R. Dudley, S. Kulkarni, T. Richardson and O. Zeituni - October 1992
View the documentMiminum description length estimators under the optimal coding scheme - V. G. Vovk - 1995
View the documentMinimal Godel numbers and their identification in the limit - R. V. Freivalds - 1975
View the documentA minimax lower bound for empirical quantizer design - Peter Bartlett, Tamás Linder and Gábor Lugosi - 1997
View the documentThe minimum consistent DFA problem cannot be approximated within any polynomial - L. Pitt and M. Warmuth - 1993
View the documentMinimum Description Length Principle - J. Rissanen - 1985
View the documentThe minimum description length principle and categorical theories - J. R. Quinlan - 1994
View the documentMinimum Information Estimation of Structure - G. W. Hart - April 1987
View the documentThe minimum L-complexity algorithm and its applications to learning non-parametric rules - K. Yamanishi - 1994
View the documentMistake Bounds and Logarithmic Linear-threshold Learning Algorithms - N. Littlestone - 1989
View the documentMistake bounds of incremental learners when concepts drift with applications to feedforward networks - T. Kuh, T. Petsche and R. Rivest - 1991
View the documentMixture densities, maximum likelihood, and the EM algorithm - R. A. Redner and H. F. Walker - 1984
View the documentA model of sequence extrapolation - P. Laird, S. R and P. Dunning - 1993
View the documentModeling By Shortest Data Description - J. Rissanen - 1978
View the documentModeling Cognitive Development on Balance Scale Phenomena - Thomas R. Shultz, Denis Mareschal and William C. Schmidt - 1994
View the documentModeling cognitive development on balance-scale phenomena - Thomas R. Schultz, Denis Mareschal and William C. Schmidt - 1994
View the documentModeling Incremental Learning from Positive Data - S. Lange and T. Zeugmann - 1995
View the documentModels of Goal Seeking and Learning - M. Gold - 1965
View the documentModels of Language Acquisition - D. Osherson and S. Weinstein - 1984
View the documentA modular Q-learning architecture for manipulator task decomposition - Chen K. Tham and Richard W. Prager - 1994
View the documentMonotonic and dual monotonic language learning - S. Lange, T. Zeugmann and S. Kapur - 1996
View the documentMonotonic and dual-monotonic probabilistic language learning of indexed families with high probability - Léa Meyer - 1997
View the documentMonotonic and Non-monotonic Inductive Inference - K. P. Jantke - 1991
View the documentMonotonic and Nonmonotonic Inductive Inference of Functions and Patterns - K. P. Jantke - 1990
View the documentMonotonic language learning - S. Kapur - 1992
View the documentMonotonic Versus Non-monotonic Language Learning - S. Lange and T. Zeugmann - 1993
View the documentMonotonicity maintenance in information-theoretic machine learning algorithms - Arie Ben-David - 1995
View the documentMonotonicity versus efficiency for learning languages from texts - E. Kinber - 1994
View the documentMonte-Carlo Inference and its Relations to Reliable Frequency Identification - E. B. Kinber and T. Zeugmann - 1989
View the documentMore or less efficient agnostic learning of convex polygons - Paul Fischer - 1995
View the documentMore theorems about scale-sensitive dimensions and learning - Peter L. Bartlett and Philip M. Long - 1995
View the documentMultilevel counterfactuals for generalizations of relational concepts and productions - S. A. Vere - 1980
View the documentMultistrategy Learning and Theory Revision - Lorenza Saitta, Marco Botta and Filippo Neri - 1993
View the documentMultivariate decision trees - Carla E. Brodley and Paul E. Utgoff - 1995
View the documentMutual Information and Bayes Methods for Learning a Distribution - David Haussler and Manfred Opper - 1995
View the documentMutual information gaining algorithm and its relation to PAC-learning algorithm - E. Takimoto, I. Tajika and A. Maruoka - 1994