A B C D E F G H I J-K L M N O P Q R S T U V W-Z 0-9
View the document A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns - Setsuo Arikawa, Satoru Kuhara, Satoru Miyano, Yasuhito Mukouchi, Ayumi Shinohara and Takeshi Shinohara - 1992
View the document Machine Discovery in the Presence of Incomplete or Ambiguous Data - S. Lange and P. Watson - 1994
View the document Machine Discovery of Effective Admissible Heuristics - Armand E. Prieditis - 1993
View the document Machine discovery of protein motifs - Darrell Conklin - 1995
View the document Machine Induction Without Revolutionary Changes in Hypothesis Size - John Case, Sanjay Jain and Arun Sharma - August 1996
View the document Machine Induction Without Revolutionary Paradigm Shifts - John Case, Sanjay Jain and Arun Sharma - 1995
View the document Machine Inductive Inference and Language Identification - J. Case and C. Lynes - 1982
View the document Machine Learning - R. L. Rivest and W. Remmele - 1991
View the document Machine Learning - Thomas G. Dietterich - 1999
View the document Machine Learning - Tom M. Mitchell - 1997
View the document A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History - Yukinobu Hamuro, Hideki Kawata, Naoki Katoh and Katsutoshi Yada - 2001
View the document Machine Learning: A Maturing Field - Jaime Carbonell - 1992
View the document Machine Learning: A Multistrategy Approach - Ryszard Michalski and George Tecuci - 1993
View the document Machine Learning: An Artificial Intelligence Approach - Ryszard S. Michalski and Jaime G. Carbonell and Tom M. Mitchell - 1983
View the document Machine Learning: An Artificial Intelligence Approach - Ryszard S. Michalski and Jaime G. Carbonell and Tom M. Mitchell - 1986
View the document Machine Learning: An Artificial Intelligence Approach - Yves Kodratoff and Ryszard Michalski - 1990
View the document Machine Learning and Concept Formation - P. Langley - 1987
View the document Machine Learning and Data Mining in Pattern Recognition, Second International Workshop, MLDM 2001, Leipzig, Germany, July 2001, Proceedings - Petra Perner - 2001
View the document Machine Learning and Discovery - Pat Langley and Ryszard S. Michalski - 1986
View the document Machine Learning and Grammar Induction - P. Langley - 1987
View the document Machine learning and qualitative reasoning - Ivan Bratko - 1994
View the document Machine-learning applications of algorithmic randomness - Volodya Vovk, Alex Gammerman and Craig Saunders - 1999
View the document A Machine Learning Approach to POS Tagging - L. Màrquez, L. Padró and H. Rodriguez - 2000
View the document A Machine Learning Approach to Workflow Management - Joachim Herbst - 2000
View the document Machine Learning as an Experimental Science - P. Langley - 1988
View the document Machine Learning: A Theoretical Approach - B. K. Natarajan - 1991
View the document Machine learning by function decomposition - Blaž Zupan, Marko Bohanec, Ivan Bratko and Janez Demšar - 1997
View the document Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings - Ramon López de Mántaras and Enric Plaza - 2000
View the document Machine Learning: ECML 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings - Luc De Raedt and Peter Flach - 2001
View the document Machine Learning for Information Extraction in Informal Domains - Dayne Freitag - 2000
View the document Machine Learning for Subproblem Selection - Robert Moll, Theodore J. Perkins and Andrew G. Barto - 2000
View the document Machine learning for the detection of oil spills in satellite radar images - Miroslav Kubat, Robert C. Holte and Stan Matwin - 1998
View the document Machine Learning: From Theory to Applications; Cooperative Research at Siemens and MIT - S. J. Hanson and W. Remmele and Ronald L. Rivest - 1993
View the document Machine Learning of Event Segmentation for News on Demand - Stanley Boykin and Andrew Merlino - 2000
View the document Machine Learning of Higher Order Programs - G. Baliga, J. Case, S. Jain and M. Suraj - 1994
View the document Machine Learning of Inductive Bias - P. E. Utgoff - 1986
View the document Machine Learning of Nearly Minimal Size Grammars - J. Case and H. Chi - 1986
View the document Machine Learning: Paradigms and Methods - Jaime Carbonell - 1990
View the document Machine Learning Research at MIT - R. L. Rivest and P. Winston - 1990
View the document Machine Learning: the Human Connection - R. L. Rivest and W. Remmele - March / April 1988
View the document A Machine That Learns - W. G. Walter - August 1951
View the document MadaBoost: A Modification of AdaBoost - Carlos Domingo and Osamu Watanabe - 2000
View the document Made-up Minds: A Constructivist Approach to Artificial Intelligence - G. L. Drescher - September 1989
View the document Making better use of global discretization - Eibe Frank and Ian H. Witten - 1999
View the document Malicious omissions and errors in answers to membership queries - Dana Angluin, Mārtiņš Krikis, Robert H. Sloan and György Turán - 1997
View the document Managing complexity in neuroidal circuits - Leslie G. Valiant - 1996
View the document Margin Distribution Bounds on Generalization - John Shawe-Taylor and Nello Christianini - 1999
View the document Markov decision processes in large state spaces - Lawrence K. Saul and Satinder P. Singh - 1995
View the document Markov games as a framework for multi-agent reinforcement learning - Michael L. Littman - 1994
View the document A Markovian extension of Valiant's learning model - D. Aldous and U. Vazirani - 1990
View the document A Markovian Extension of Valiant's Learning Model - D. Aldous and U. Vazirani - 1995
View the document Markov Processes on Curves - Lawrence K. Saul and Mazin G. Rahim - 2000
View the document Maryanski's Grammatical Inferencer - B. R. Gaines - January 1979
View the document The Mathematical Foundations of Learning Machines - N. J. Nilsson - 1990
View the document Mathematical learning theory: a formalized, axiomatic, abstract approach - R. J. Hendel - 1979
View the document Mathematical/Mechanical? Learners pay a price for Bayesianism - D. N. Osherson, M. Stob and S. Weinstein - 1988
View the document A mathematical theory of learning transformational grammar - Henry Hamburger and Kenneth N. Wexler - 1975
View the document Mathematical Theory of Neural Learning - S. Amari - 1991
View the document Mathematics Based on Learning - Susumu Hayashi - 2002
View the document Matters Horn and Other Features in the Computational Learning Theory Landscape: The Notion of Membership - M. Frazier - 1994
View the document Maximal machine learnable classes - J. Case and M. A. Fulk - 1999
View the document Maximizing Agreements and CoAgnostic Learning - Nader H. Bshouty and Lynn Burroughs - 2002
View the document Maximizing the Margin with Boosting - Gunnar Rätsch and Manfred K. Warmuth - 2002
View the document Maximizing Theory Accuracy Through Selective Reinterpretation - Shlomo Argamon-Engelson, Moshe Koppel and Hillel Walters - 2000
View the document Maximum Entropy Markov Models for Information Extraction and Segmentation - Andrew McCallum, Dayne Freitag and Fernando Pereira - 2000
View the document The Maximum Latency and Identification of Positive Boolean Functions - Kazuhisa Makino and Toshihide Ibaraki - 1997
View the document Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data - Igor V. Cadez, Padhraic Smyth, Geoff J. McLachlan and Christine E. McLaren - 2002
View the document Maximum-likelihood from Incomplete Data via the EM Algorithm - A. P. Dempster, N. M. Laird and D. B Rubin - 1977
View the document Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes - F. Casacuberta - 1996
View the document The MAXQ method for hierarchical reinforcement learning - Thomas G. Dietterich - 1998
View the document MDL and categorical theories (continued) - J. R. Quinlan - 1995
View the document MDL learning of unions of simple pattern languages from positive examples - Pekka Kilpeläinen, Heikki Mannila and Esko Ukkonen - 1995
View the document A Mean Field Theory Learning Algorithm for Neural Networks - C. Peterson and J. R. Anderson - 1987
View the document Meaning helps learning syntax - Isabelle Tellier - 1998
View the document Measurability Constraints on PAC Learnability - S. Ben-David and G. M. Benedek - 1991
View the document A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations - H. Chernoff - 1952
View the document Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study - Stephen Muggleton, Christopher H. Bryant and Ashwin Srinivasan - 2000
View the document A mechanical method of successful scientific inquiry - D. N. Osherson, M. Stob and S. Weinstein - 1990
View the document A Mechanism for Early Piagetian Learning - G. L. Drescher - July 1987
View the document Meme Media for Re-editing and Redistributing Intellectual Assets and Their Application to Interactive Virtual Information Materialization - Yuzuru Tanaka - 2001
View the document Memory Limited Inductive Inference Machines - Rusins Freivalds and Carl Smith - 1992
View the document Merging Uniform Inductive Learners - Sandra Zilles - 2002
View the document Meta-Learning by Landmarking Various Learning Algorithms - Bernhard Pfahringer, Hilan Bensusan and Christophe Giraud-Carrier - 2000
View the document Meta-Learning for Phonemic Annotation of Corpora - Véronique Hoste, Walter Daelemans, Erik Tjong Kim Sang and Steven Gillis - 2000
View the document A method for constructive learning of recurrent neural networks - Dong Chen, C. Lee Giles, Gordon Sun, Mark W. Goudreau, Hsing-Hen Chen and Yee-Chun Lee - 1995
View the document A Method for Inferring Context-Free Grammars - B. Knobe and K. Knobe - 1976
View the document A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space - J. Gordon and E. H. Shortliffe - July 1985
View the document A method for obtaining digital signatures and public key cryptosytems - R. L. Rivest, A. Shamir and L. Adleman - 1978
View the document A Method of Computing Generalized Bayesian Probability Values for Expert Systems - P. C. Cheeseman - August 1983
View the document A Method of Similarity-Driven Knowledge Revision for Type Specification - Nobuhiro Morita, Makoto Haraguchi and Yoshiaki Okubo - 1999
View the document A methodology for LISP program construction from examples - P. D. Summers - January 1977
View the document Metric-Based Inductive Learning Using Semantic Height Functions - Zdravko Markov and Ivo Marinchev - 2000
View the document Metric-Based Methods for Adaptive Model Selection and Regularization - Dale Schuurmans and Finnegan Southey - 2002
View the document A metric entropy bound is not sufficient for learnability - R. Dudley, S. Kulkarni, T. Richardson and O. Zeituni - October 1992
View the document Microchoice bounds and self bounding learning algorithms - John Langford and Avrim Blum - 1999
View the document A Microscopic Study of Minimum Entropy Search in Learning Decomposable Markov Networks - Y. Xiang, S. K. M. Wong and N. Cercone - 1997
View the document Miminum description length estimators under the optimal coding scheme - V. G. Vovk - 1995
View the document Mind change complexity of learning logic programs - Sanjay Jain and Arun Sharma - 2002
View the document Mind Change Complexity of Learning Logic Programs - Sanjay Jain and Arun Sharma - 1999
View the document Minimal Concept Identification and Reliability - Sanjay Jain - 1998
View the document Minimal Gödel numbers and their identification in the limit - R. V. Freivalds - 1975
View the document Minimal Samples of Positive Examples Identifying k-CNF Boolean Functions - A. T. Ogielski - 1994
View the document A minimax lower bound for empirical quantizer design - Peter Bartlett, Tamás Linder and Gábor Lugosi - 1997
View the document Minimax regret under log loss for general classes of experts - Nicolò Cesa-Bianchi and Gábor Lugosi - 1999
View the document Minimax relative loss analysis for sequential prediction algorithms using parametric hypotheses - Kenji Yamanishi - 1998
View the document The Minimax Strategy for Gaussian Density Estimation - Eiji Takimoto and Manfred Warmuth - 2000
View the document Minimax TD-Learning with Neural Nets in a Markov Game - Fredrik A. Dahl and Ole Martin Halck - 2000
View the document Minimised Residue Hypotheses in Relevant Logic - Bertram Fronhöfer and Akihiro Yamamoto - 2002
View the document Minimizing alpha-Information for Generalization and Interpretation - R. Kamimura - 1998
View the document Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard - Jir\'ı ť\'ıma - 2001
View the document The minimum consistent DFA problem cannot be approximated within any polynomial - Leonard Pitt and Manfred K. Warmuth - 1993
View the document Minimum description length induction, Bayesianism, and Kolmogorov complexity - P. M. Vitányi and M. Li - 2000
View the document Minimum Description Length Principle - J. Rissanen - 1985
View the document The minimum description length principle and categorical theories - J. R. Quinlan - 1994
View the document Minimum Generalization Via Reflection: A Fast Linear Threshold Learner - Steven Hampson and Dennis Kibler - 1999
View the document Minimum Information Estimation of Structure - G. W. Hart - April 1987
View the document The minimum L-complexity algorithm and its applications to learning non-parametric rules - K. Yamanishi - 1994
View the document Minimum Message Length Grouping of Ordered Data - Leigh J. Fitzgibbon, Lloyd Allison and David L. Dowe - 2000
View the document A minimum risk metric for nearest neighbor classification - Enrico Blanzieri and Francesco Ricci - 1999
View the document Mining from Literary Texts: Pattern Discovery and Similarity Computation - Masayuki Takeda, Tomoko Fukuda and Ichiro Nanri - 2001
View the document Mining of Topographic Feature from Heterogeneous Imagery and Its Application to Lunar Craters - Rie Honda, Yuichi Iijima and Osamu Konishi - 2001
View the document Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm - Filippo Neri - 2000
View the document Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL - Peter D. Turney - 2001
View the document Mirror Image Learning for Handwritten Numeral Recognition - Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama and Fumitaka Kimura - 2001
View the document Mistake Bounds and Logarithmic Linear-threshold Learning Algorithms - N. Littlestone - 1989
View the document Mistake bounds of incremental learners when concepts drift with applications to feedforward networks - T. Kuh, T. Petsche and R. Rivest - 1991
View the document Mixability and the Existence of Weak Complexities - Yuri Kalnishkan and Michael V. Vyugin - 2002
View the document Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones - Lawrence K. Saul and Michael I. Jordan - 1999
View the document A Mixture Approach to Novelty Detection Using Training Data with Outliers - Martin Lauer - 2001
View the document Mixture densities, maximum likelihood, and the EM algorithm - R. A. Redner and H. F. Walker - 1984
View the document Mixture models for learning from incomplete data - Zoubin Ghahramani and Michael I. Jordan - 1997
View the document Mixtures of Factor Analyzers - Geoffrey McLachlan - 2000
View the document Mixtures of Rectangles: Interpretable Soft Clustering - Dan Pelleg and Andrew Moore - 2001
View the document MML estimation of the parameters of the spherical Fisher distribution - David L. Dowe, Jonathan J. Oliver and Chris S. Wallace - 1996
View the document Modeling By Shortest Data Description - J. Rissanen - 1978
View the document Modeling Cognitive Development on Balance Scale Phenomena - Thomas R. Schultz, Denis Mareschal and William C. Schmidt - 1994
View the document Modeling Incremental Learning from Positive Data - S. Lange and T. Zeugmann - 1995
View the document A Model of Inductive Bias Learning - J. Baxter - 2000
View the document A model of interactive teaching - H. David Mathias - 1997
View the document A model of sequence extrapolation - P. Laird, S. R and P. Dunning - 1993
View the document Model Selection and Error Estimation - Peter L. Bartlett, Stéphane Boucheron and Gábor Lugosi - 2000
View the document Model Selection and Error Estimation - Peter L. Bartlett, Stéphane Boucheron and Gáabor Lugosi - 2002
View the document Model Selection Criteria for Learning Belief Nets: An Empirical Comparison - Tim Van Allen and Russ Greiner - 2000
View the document Model Selection for Small Sample Regression - Olivier Chapelle, Vladimir Vapnik and Yoshua Bengio - 2002
View the document Model selection in unsupervised learning with applications to document clustering - Shivakumar Vaithyanathan and Byron Dom - 1999
View the document Models of Goal Seeking and Learning - M. Gold - 1965
View the document Models of Incremental Concept Formation - John H. Gennari, Pat Langley and Doug Fisher - 1989
View the document Models of Language Acquisition - D. Osherson and S. Weinstein - 1984
View the document A modular Q-learning architecture for manipulator task decomposition - Chen K. Tham and Richard W. Prager - 1994
View the document Monotone extensions of Boolean data sets - Endre Boros, Toshihide Ibaraki and Kazuhisa Makino - 1997
View the document Monotone term decision lists - David Guijarro, Victor Lavin and Vijay Raghavan - 2001
View the document Monotonic and dual monotonic language learning - S. Lange, T. Zeugmann and S. Kapur - 1996
View the document Monotonic and dual-monotonic probabilistic language learning of indexed families with high probability - Léa Meyer - 1997
View the document Monotonic and Non-monotonic Inductive Inference - K. P. Jantke - 1991
View the document Monotonic and Nonmonotonic Inductive Inference of Functions and Patterns - K. P. Jantke - 1991
View the document Monotonicity maintenance in information-theoretic machine learning algorithms - Arie Ben-David - 1995
View the document Monotonicity versus Efficiency for Learning Languages from Texts - Efim Kinber - 1994
View the document Monotonic language learning - Shyam Kapur - 1993
View the document Monotonic Versus Non-monotonic Language Learning - S. Lange and T. Zeugmann - 1993
View the document Monte Carlo hidden Markov models: Learning non-parametric models of partially observable stochastic processes - Sebastian Thrun, John C. Langford and Dieter Fox - 1999
View the document Monte-Carlo Inference and its Relations to Reliable Frequency Identification - Efim Kinber and Thomas Zeugmann - 1989
View the document More About Learning Elementary Formal Systems - Setsuo Arikawa, Takeshi Shinohara, Satoru Miyano and Ayumi Shinohara - 1993
View the document More efficient PAC-learning of DNF with membership queries under the uniform distribution - Nader H. Bshouty, Jeffrey C. Jackson and Christino Tamon - 1999
View the document More or less efficient agnostic learning of convex polygons - Paul Fischer - 1995
View the document More theorems about scale-sensitive dimensions and learning - Peter L. Bartlett and Philip M. Long - 1995
View the document More theory revision with queries (extended abstract) - Judy Goldsmith and Robert H. Sloan - 2000
View the document The More We Learn the Less We Know? On Inductive Learning from Examples - Piotr Ejdys and Grzegorz Gára - 1999
View the document Most Sequences Are Stochastic - V. V. V'yugin - September 2001
View the document Multi-Agent Learning: Theoretical and Empirical Studies - Robert Daley - 1993
View the document A Multi-Agent, Policy-Gradient Approach to Network Routing - Nigel Tao, Jonathan Baxter and Lex Weaver - 2001
View the document Multi-Agent Q-learning and Regression Trees for Automated Pricing Decisions - Manu Sridharan and Gerald Tesauro - 2000
View the document Multi-Agent Reinforcement Learning for Traffic Light Control - Marco Wiering - 2000
View the document Multiagent reinforcement learning: theoretical framework and an algorithm - Junling Hu and Michael P. Wellman - 1998
View the document MultiBoosting: A Technique for Combining Boosting and Wagging - Geoffrey I. Webb - 2000
View the document Multiclass learning, boosting, and error-correcting codes - Venkatesan Guruswami and Amit Sahai - 1999
View the document Multi-criteria reinforcement learning - Zoltán Gábor, Zsolt Kalmár and Csaba Szepesvári - 1998
View the document Multilevel counterfactuals for generalizations of relational concepts and productions - S. A. Vere - 1980
View the document Multi Level Knowledge in Modeling Qualitative Physics Learning - Filippo Neri - 2000
View the document Multiple Comparisons in Induction Algorithms - David D. Jensen and Paul R. Cohen - 2000
View the document Multiple-instance learning for natural scene classification - Oded Maron and Aparna Lakshmi Ratan - 1998
View the document Multiple-Instance Learning of Real-Valued Data - Robert A. Amar, Daniel R. Dooly, Sally A. Goldman and Qi Zhang - 2001
View the document Multiple Instance Regression - Soumya Ray and David Page - 2001
View the document A Multiple Model Cost-Sensitive Approach for Intrusion Detection - Wei Fan, Wenke Lee, Salvatore J. Stolfo and Matthew Miller - 2000
View the document MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data - Cenk Kaynak and Ethem Alpaydin - 2000
View the document A Multistrategy Approach to Classifier Learning from Time Series - William H. Hsu, Sylvian R. Ray and David C. Wilkins - 2000
View the document Multistrategy Discovery and Detection of Novice Programmer Errors - Raymund C. Sison, Masayuki Numao and Masamichi Shimura - 2000
View the document Multistrategy Learning and Theory Revision - Lorenza Saitta, Marco Botta and Filippo Neri - 1993
View the document Multistrategy learning for information extraction - Dayne Freitag - 1998
View the document Multistrategy Theory Revision: Induction and Abduction in INTHELEX - Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi and Stefano Ferilli - 2000
View the document Multitask learning - Rich Caruana - 1997
View the document Multivariate decision trees - Carla E. Brodley and Paul E. Utgoff - 1995
View the document The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery - Gerhard Widmer - 2001
View the document Mutual Information and Bayes Methods for Learning a Distribution - David Haussler and Manfred Opper - 1995
View the document Mutual information gaining algorithm and its relation to PAC-learning algorithm - Eiji Takimoto, Ichiro Tajika and Akira Maruoka - 1994
View the document Mutual Information in Learning Feature Transformations - Kari Torkkola and William M. Campbell - 2000