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 documentLange and Wiehagen’s Pattern Language Learning Algorithm: An Average-Case Analysis with respect to its Total Learning Time - T. Zeugmann - 1995
View the documentLanguage Acquisition - S. Pinker - 1990
View the documentLanguage Identification in the Limit - E. M. Gold - 1967
View the documentLanguage Learning by a Team - S. Jain and A. Sharma - July 1990
View the documentLanguage Learning by Automata Induction - R. C. Berwick - July 3 1987
View the documentLanguage learning from good examples - S. Lange, J. Nessel and R. Wiehagen - 1994
View the documentLanguage learning from membership queries and characteristic examples - Hiroshi Sakamoto - 1995
View the documentLanguage learning from stochastic input - S. Kapur and G. Bilardi - 1992
View the documentLanguage learning from texts: mind changes, limited memory and monotonicity - Efim Kinber and Frank Stephan - 1995
View the documentLanguage learning in dependence on the space of hypotheses - S. Lange and T. Zeugmann - 1993
View the documentLanguage learning under various types of constraint combinations - S. Kapur - 1994
View the documentLanguage Learning with a Bounded Number of Mind Changes - S. Lange and T. Zeugmann - 1993
View the documentLanguage learning with some negative information - Ganesh Baliga, John Case and Sanjay Jain - 1995
View the documentLearnability: Admissible, Co-finite and Hypersimple Sets - G. Baliga and J. Case - 1993
View the documentLearnability and Linguistic Theory - R. J. Matthews and W. Demopoulos - 1989
View the documentLearnability and the Vapnik-Chervonenkis Dimension - A. Blumer, A. Ehrenfeucht, D. Haussler and M. K. Warmuth - 1989
View the documentLearnability by fixed distributions - G. M. Benedek and A. Itai - 1988
View the documentLearnability in the Presence of Classification Noise - Y. Sakakibara - November 1989
View the documentLearnability of description logics - W. W. Cohen and H. Hirsh - 1992
View the documentThe learnability of description logics with equality constraints - William W. Cohen and Haym Hirsh - 1994
View the documentThe learnability of formal concepts - M. Anthony, N. Biggs and J. Shawe-Taylor - 1990
View the documentLearnability of Kolmogorov-easy circuit expressions via queries - José L. Balcázar, Harry Buhrman and Montserrat Hermo - 1995
View the documentThe Learnability of Recursive Languages in Dependence on the Hypothesis Space - S. Lange and T. Zeugmann - 1993
View the documentLearnability of Recursive, Non-determinate Theories: Some Basic Results and Techniques - M. Frazier and C. D. Page - 1993
View the documentLearnability with respect to Fixed Distributions - G. Benedek and A. Itai - 1991
View the documentLearnability with restricted focus of attention guarantees noise-tolerance - S. Ben-David and E. Dichterman - 1994
View the documentLearning 2$-DNF formulas and $k decision trees - T. R. Hancock - 1991
View the documentLearning a Probability Distribution Efficiently and Reliably - P. Laird and E. Gamble - October 1988
View the documentLearning About Systems That Contain State Variables - T. G. Dietterich - August 1984
View the documentLearning active classifiers - Russell Greiner, Adam J. Grove and Dan Roth - 1996
View the documentA Learning Algorithm for Boltzmann Machines - D. H. Ackley, G. E. Hinton and T. J. Sejnowski - 1985
View the documentA Learning Algorithm for Linear Operators - J. Mycielski - 1988
View the documentLearning an intersection of k halfspaces over a uniform distribution - Avrim Blum and Ravi Kannan - 1993
View the documentLearning an optimal decision strategy in an influence diagram with latent variables - V. G. Vovk - 1996
View the documentLearning an Optimally Accurate Representation System - Russell Greiner and Dale Schuurmans - JUN 1994
View the documentLearning and Consistency - R. Wiehagen and T. Zeugmann - 1995
View the documentLearning and generalization of characteristic descriptions: evaluation criteria and comparative review of selected methods - T. G. Dietterich and R. S. Michalski - 1979
View the documentLearning and inductive inference - T L. R. C. K. Dietterich and R. Dromey - 1982
View the documentLearning and Programming in Classifier Systems - Richard K. Belew and Stephanie Forrest - 1988
View the documentLearning and robust learning of product distributions - K. Höffgen - 1993
View the documentLearning and Updating of Uncertainty in Dirichlet Models - Enrque Castillo, Ali S. Hadi and Cristina Solares - 1997
View the documentLearning arithmetic read-once formulas - N. H. Bshouty, T. R. Hancock and L. Hellerstein - 1992
View the documentLearning Arm Kinematics and Dynamics - C. G. Atkeson - 1989
View the documentLearning at the Knowledge Level - Thomas G. Dietterich - 1986
View the documentLearning Automata - A Survey - K. S. Narendra and M. A. L. Thathachar - 1974
View the documentLearning Automata - An Introduction - K. S. Narendra and M. A. L. Thathachar - 1989
View the documentLearning Automata from Ordered Examples - Sara Porat and Jerome A. Feldman - 1991
View the documentLearning Bayesian belief networks based on the minimum description length principle: an efficient algorithm using the B \& B technique - Joe Suzuki - 1996
View the documentLearning Bayesian networks: the combination of knowledge and statistical data - David Heckerman, Dan Geiger and David M. Chickering - 1995
View the documentLearning behaviors of automata from shortest counterexamples - F. Bergadano and S. Varricchio - 1995
View the documentLearning belief networks in the presence of missing values and hidden variables - Nir Friedman - 1997
View the documentLearning binary perceptrons perfectly efficiently - Shao C. Fang and Santosh S. Venkatesh - 1996
View the documentLearning binary relations and total orders - S. A. Goldman, R. L. Rivest and R. E. Schapire - October 1993
View the documentLearning Binary Relations, Total Orders, and Read-Once Formulas - S. Goldman - September 1990
View the documentLearning binary relations using weighted majority voting - Sally A. Goldman and Manfred K. Warmuth - 1995
View the documentLearning Boolean Formulae or Finite Automata is as Hard as Factoring - M. Kearns and L. G. Valiant - 1988
View the documentLearning Boolean Functions in an Infinite Attribute Space - A. Blum - October 1992
View the documentLearning Boolean read-once formulas with arbitrary symmetric and constant fan-in gates - N. H. Bshouty, T. R. Hancock and L. Hellerstein - 1992
View the documentLearning boxes in high dimension - Amos Beimel and Eyal Kushilevitz - 1997
View the documentLearning branches and learning to win closed games - Martin Kummer and Matthias Ott - 1996
View the documentLearning -branching programs with queries - V. Raghavan and D. Wilkins - 1993
View the documentLearning by a population of perceptrons - Kukjin Kang and Jong-Hoon Oh - 1995
View the documentLearning by distances - S. Ben-David, A. Itai and E. Kushilevitz - 1990
View the documentLearning by Erasing - S. Lange, R. Wiehagen and T. Zeugmann - 1996
View the documentLearning by Experimentation - J. G. Carbonell and Y. Gil - June 1987
View the documentLearning by experimentation: incremental refinement of incomplete planning domains - Yolanda Gil - 1994
View the documentLearning by extended statistical queries and its relation to PAC learning - Eli Shamir and Clara Schwartzman - 1995
View the documentLearning by Failing to Explain: Using Partial Explanations to Learn in Incomplete or Intractable Domains - Robert J. Hall - 1988
View the documentLearning by Making Models - P. Laird - 1988
View the documentLearning by observation and practice: an incremental approach for planning operator acquisition - Xuemei Wang - 1995
View the documentLearning by smoothing: a morphological approach - W. M. Kim - 1991
View the documentLearning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning - Michael Pazzani - 1993
View the documentLearning changing concepts by exploiting the structure of change - Peter L. Bartlett, Shai Ben-David and Sanjeev R. Kulkarni - 1996
View the documentLearning collection fusion strategies for information retrieval - Geoffrey Towell, Ellen M. Voorhees, Narendra K. Gupta and Ben Johnson-Laird - 1995
View the documentLearning Commutative Deterministic Finite State Automata in Polynomial Time - N. Abe - 1991
View the documentThe learning complexity of smooth functions of a single variable - D. Kimber and P. Long - 1992
View the documentLearning complicated concepts reliably and usefully - R. L. Rivest and R. Sloan - 1988
View the documentLearning concatenations of locally testable languages from positive data - S. Kobayashi and T. Yokomori - 1994
View the documentLearning Concepts by Asking Questions - C. Sammut and R. Banerji - 1986
View the documentLearning Concepts from Sensor Data of a Mobile Robot - Volker Klingspor, Katharina J. Morik and Anke D. Rieger - 1996
View the documentLearning conjunctions of Horn clauses - D. Angluin, M. Frazier and L. Pitt - 1992
View the documentLearning conjunctions of two unate DNF formulas: computational and informational results - Aaron Feigelson and Lisa Hellerstein - 1996
View the documentLearning Conjunctive Concepts in Structural Domains - D. Haussler - 1989
View the documentLearning context-free grammars from structural data in polynomial time - Y. Sakakibara - 1990
View the documentLearning Controllers for Industrial Robots - C. Baroglio, A. Giordana, M. Kaiser, M. Nuttin and R. Piola - 1996
View the documentA Learning Criterion for Stochastic Rules - Kenji Yamanishi - 1992
View the documentLearning curve bounds for a Markov decision process with undiscounted rewards - Lawrence K. Saul and Satinder P. Singh - 1996
View the documentLearning curves in large neural networks - H. Sompolinsky, H. S. Seung and N. Tishby - 1991
View the documentLearning Decision Lists - Ronald L. Rivest - 1987
View the documentLearning decision lists and trees with equivalence-queries - Hans Ulrich Simon - 1995
View the documentLearning Decision Trees from Random Examples - A. Ehrenfeucht and D. Haussler - 1989
View the documentLearning Decision Trees using the Fourier Spectrum - E. Kushilevitz and Y. Mansour - 1993
View the documentLearning Default Concepts - Dale Schuurmans and Russell Greiner - 1994
View the documentLearning despite concept variation by finding structure in attribute-based data - Eduardo Pérez and Larry A. Rendell - 1996
View the documentLearning Disjunctions of Conjunctions - L. G. Valiant - 1985
View the documentLearning disjunctive concepts by means of genetic algorithms - Attilio Giordana, Lorenza Saitta and Floriano Zini - 1994
View the documentLearning Distributed Representations of Concepts - G. E. Hinton - 1986
View the documentLearning distributions by their density levels - a paradigm for learning without a teacher - Shai Ben-David and Michael Lindenbaum - 1995
View the documentLearning Distributions from Random Walks - Funda Ergün, S. Ravi Kumar and Ronitt Rubinfeld - 1997
View the documentLearning DNF formulae under classes of probability distributions - M. Flammini, A. Marchetti-Spaccamela and L. K. Cera - 1992
View the documentLearning DNF over the uniform distribution using a quantum example oracle - Nader H. Bshouty and Jeffrey C. Jackson - 1995
View the documentLearning DNF under the uniform distribution in quasi-polynomial time - K. Verbeurgt - 1990
View the documentLearning effect of a dynamic thesaurus in associated information retrieval - H. Kimoto and T. Iwadera - 1992
View the documentLearning evaluation functions for large acyclic domains - Justin A. Boyan and Andrew W. Moore - 1996
View the documentLearning Fallible Deterministic Finite Automata - Dana Ron and Ronitt Rubinfeld - 1995
View the documentLearning fallible finite state automata - D. Ron and R. Rubinfeld - 1993
View the documentLearning Faster than Promised by the Vapnik-Chervonenkis Dimension - A. Blumer and N. Littlestone - 1989
View the documentLearning finite automata with stochastic output functions and an application to map learning - Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis and Oded Maron - 1995
View the documentLearning formulae from elementary facts - Jānis Bārzdiņs, Rīsiņs Freivalds and Carl H. Smith - 1997
View the documentLearning from a consistently ignorant teacher - M. Frazier, S. Goldman, N. Mishra and L. Pitt - 1994
View the documentLearning from a mixture of labeled and unlabeled examples with parametric side information - Joel Ratsaby and Santosh S. Venkatesh - 1995
View the documentLearning from a population of hypotheses - Michael Kearns and H. Sebastian Seung - 1995
View the documentLearning from Delayed Rewards - C. J. C. H. Watkins - May 1989
View the documentLearning from entailment: an application to propositional Horn sentences - Michael Frazier and Leonard Pitt - June 1993
View the documentLearning from Examples in a Single-Layer Neural Network - D. Hansel and H. Sompolinsky - 1990
View the documentLearning from Examples in Large Neural Networks - H. Sompolinsky, N. Tishby and H. S. Seung - 1990
View the documentLearning from examples with typed equational programming - A. Ishino and A. Yamamoto - 1994
View the documentLearning From Examples With Unspecified Attribute Values - Sally A. Goldman, Stephen S. Kwek and Stephen D. Scott - 1997
View the documentLearning from Good and Bad Data - Philip D. Laird - 1988
View the documentLearning from incomplete boundary queries using split graphs and hypergraphs - Robert H. Sloan and György Turán - 1997
View the documentLearning from Multiple Sources of Inaccurate Data - G. Baliga, S. Jain and A. Sharma - 1992
View the documentLearning from noisy examples - D. Angluin and P. Laird - 1988
View the documentLearning from positive-only examples - R. Berwick - 1986
View the documentLearning Functions from Examples - B. K. Natarajan - 1987
View the documentLearning functions of k terms - A. Blum and M. Singh - 1990
View the documentLearning goal oriented Bayesian networks for telecommunications risk management - Kazuo J. Ezawa, Moninder Singh and Steven W. Norton - 1996
View the documentLearning goal-decomposition rules using exercises - Chandra Reddy and Prasad Tadepalli - 1997
View the documentLearning heirarchical rule sets - J. Kivinen, H. Mannila and E. Ukkonen - 1992
View the documentLearning hierarchies from ambiguous natural language data - Takefumi Yamazaki, Michael J. Pazzani and Christopher Merz - 1995
View the documentLearning in a Layered Network with many Fixed-Function Hidden Nodes - N. Littlestone - June 1987
View the documentLearning in artificial neural networks: a statistical perspective - H. White - 1990
View the documentLearning in multi-agent environments - P. Brazdil - 1992
View the documentLearning in neural networks - S. Judd - 1988
View the documentLearning in parallel - J. Vitter and J. Lin - 1992
View the documentLearning in Pattern Recognition - T. M. Cover - 1969
View the documentLearning in permutation groups extended abstract - U. Feige and A. Shamir - 1987
View the documentLearning in the Presence of Additional Information and Inaccurate Information - S. Jain - 1990
View the documentLearning in the Presence of Concept Drift and Hidden Contexts - Gerhard Widmer and Miroslav Kubat - 1996
View the documentLearning in the presence of finitely or infinitely many irrelevant attributes - Avrim Blum, Lisa Hellerstein and Nick Littlestone - 1995
View the documentLearning in the Presence of Inaccurate Information - M. A. Fulk and S. Jain - August 1989
View the documentLearning in the presence of malicious errors - M. Kearns and M. Li - 1993
View the documentLearning in the Presence of Partial Explanations - S. Jain and A. Sharma - 1991
View the documentLearning in threshold networks - P. Raghavan - 1988
View the documentLearning Integer Lattices - D. Helmbold, R. Sloan and M. K. Warmuth - 1992
View the documentLearning internal representations - Jonathan Baxter - 1995
View the documentLearning Internal Representations by Error Propagation - D. E. Rumelhart, G. E. Hinton and R. J. Williams - 1986
View the documentLearning k decision trees on the uniform distribution - T. Hancock - 1993
View the documentLearning k-Bounded Context-Free Grammars - D. Angluin - August 1987
View the documentLearning k-DNF with Noise in the Attributes - G. Shackelford and D. Volper - 1988
View the documentLearning k-term DNF Formulas using Queries and Counterexamples - D. Angluin - August 1987
View the documentLearning k-term DNF formulas with an incomplete membership oracle - S. A. Goldman and H. D. Mathias - 1992
View the documentLearning k-term monotone Boolean formulae - Y. Sakai and A. Maruoka - 1992
View the documentLearning Languages by Collecting Cases and Tuning Parameters - K. P. Jantke Y. Sakakibara and S. Lange - 1994
View the documentLearning languages by collecting classes and tuning parameters - Y. Sakakibara, K. P. Jantke and S. Lange - 1994
View the documentLearning linear threshold functions in the presence of classification noise - T. Bylander - 1994
View the documentLearning Local and Recognizable -languages and Monadic Logic Programs - A. Saoudi - 1994
View the documentLearning Logic Programs by using the Product Homomorphism Method - Tamás Horváth, Robert H. Sloan and György Turán - 1997
View the documentLearning Logical Definitions from Relations - J. R. Quinlan - 1990
View the documentLearning Machines - J. Case - 1986
View the documentLearning Machines - N. J. Nilsson - 1965
View the documentLearning Markov chains with variable length memory from noisy output - Dana Angluin and Miklós Csűrös - 1997
View the documentLearning matrix functions over rings - Nader H. Bshouty, Christino Tamon and David K. Wilson - 1997
View the documentLearning monotone DNF with an incomplete membership oracle - D. Angluin and D. K. Slonim - 1991
View the documentLearning monotone k -DNF formulas on product distributions - T. Hancock and Y. Mansour - 1991
View the documentLearning monotone log-term DNF formulas - Y. Sakai and A. Maruoka - 1994
View the documentLearning monotone term decision lists - David Guijarro, Victor Lavin and Vijay Raghavan - 1997
View the documentLearning nearly monotone k-term DNF - Jorge Castro, David Guijarro and Victor Lavin - 1997
View the documentLearning nested differences in the presence of malicious noise - Peter Auer - 1995
View the documentLearning Nested Differences of Intersection Closed Concept Classes - D. Helmbold, R. Sloan and M. K. Warmuth - 1990
View the documentLearning nested differences of intersection-closed concept classes - D. Helmbold, R. Sloan and M. K. Warmuth - 1989
View the documentLearning New Principles From Precedents and Exercises: The Details - P. H. Winston - May 1981
View the documentLearning Nonoverlapping Perceptron Networks from Examples and Membership Queries - Thomas R. Hancock et al. - 1994
View the documentLearning nonoverlapping perceptron networks from examples and membership queries - Thomas R. Hancock, Mostefa Golea and Mario Marchand - 1994
View the documentLearning non-parametric densities by finite-dimensional parametric hypotheses - K. Yamanishi - 1992
View the documentLearning Non-parametric Smooth Rules by Stochastic Rules with Finite Partitioning - K. Yamanishi - 1994
View the documentLearning of depth two neural networks with constant fan-in at the hidden nodes - Peter Auer, Stephen Kwek, Wolfgang Maass and Manfred K. Warmuth - 1996
View the documentLearning of Expert Systems from Data - P. C. Cheeseman - December 1984
View the documentLearning of regular expressions by pattern matching - Alvis Brāzma - 1995
View the documentLearning One Subprocedure per Lesson - K. VanLehn - January 1987
View the documentLearning one-counter languages in polynomial time - P. Berman and R. Roos - 1987
View the documentLearning one-dimensional geometric patterns under one-sided random misclassification noise - P. W. Goldberg and S. A. Goldman - 1994
View the documentLearning ordered binary decision diagrams - Ricard Gavaldà and David Guijarro - 1995
View the documentLearning orthogonal F-Horn formulas - Akira Miyashiro, Eiji Takimoto, Yoshifumi Sakai and Akira Maruoka - 1995
View the documentLearning pattern languages from a single initial example and from queries - A. Marron - 1988
View the documentLearning pattern languages using queries - Satoshi Matsumoto and Ayumi Shinohara - 1997
View the documentLearning policies for partially observable environments: scaling up - Michael L. Littman, Anthony R. Cassandra and Leslie Pack Kaelbling - 1995
View the documentLearning polynomials with queries: the highly noisy case - Oded Goldreich, Ronitt Rubinfeld and Madhu Sudan - 1995
View the documentLearning Probabilistic Automata and Markov Chains via Queries - Wen-Guey Tzeng - 1992
View the documentLearning probabilistic automata with variable memory length - D. Ron, Y. Singer and N. Tishby - 1994
View the documentLearning probabilistic prediction functions - A. DeSantis, G. Markowsky and M. N. Wegman - 1988
View the documentLearning Probabilistic Read-once Formulas on Product Distributions - Robert E. Schapire - 1994
View the documentLearning Probabilistically Consistent Linear Threshold Functions - Tom Bylander - 1997
View the documentLearning programs with an easy to calculate set of errors - W. I. Gasarch, R. K. Sitaraman, C. H. Smith and M. Velauthapillai - 1992
View the documentLearning proof heuristics by adapting parameters - Matthias Fuchs - 1995
View the documentLearning propositional Horn sentences with hints - D. Angluin - December 1987
View the documentLearning prototypical concept descriptions - Piew Datta and Dennis Kibler - 1995
View the documentLearning Qualitative Models of Dynamic Systems - David T. Hau and Enrico W. Coiera - 1997
View the documentLearning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm - N. Littlestone - 1988
View the documentLearning radial basis function networks on-line - E. Blanzieri and P. Katenkamp - 1996
View the documentLearning read-once formulas over fields and extended bases - T. Hancock and L. Hellerstein - 1991
View the documentLearning read-once formulas using membership queries - L. Hellerstein and M. Karpinski - 1989
View the documentLearning read-once formulas with queries - D. Angluin, L. Hellerstein and M. Karpinski - 1993
View the documentLearning recursive functions from approximations - John Case, Susanne Kaufmann, Efim Kinber and Martin Kummer - 1995
View the documentLearning Recursive Languages With a Bounded Number of Mind Changes - S. Lange and T. Zeugmann - 1993
View the documentLearning recursive languages with bounded mind changes - S. Lange and T. Zeugmann - 1992
View the documentLearning recursive relations with randomly selected small training sets - David W. Aha, Stephanie Lapointe, Charles X. Ling and Stan Matwin - 1994
View the documentLearning regular languages from counterexamples - O. H. Ibarra and T. Jiang - 1988
View the documentLearning Regular Sets from Queries and Counterexamples - D. Angluin - November 1987
View the documentLearning relational concepts with decision trees - Peter Geibel and Fritz Wysotzki - 1996
View the documentLearning Representations By Back-Propagating Errors - D. E. Rumelhart, G. E. Hinton and R. J. Williams - 1986
View the documentLearning Rules with Local Exceptions - J. Kivinen, H. Mannila and E. Ukkonen - 1994
View the documentLearning Search Control Knowledge: An Explanation-Based Approach - Roland J. Zito-Wolf - 1991
View the documentLearning Sequential Decision Rules Using Simulation Models and Competition - John J. Grefenstette, Connie Loggia Ramsey and Alan C. Schultz - 1990
View the documentLearning simple concepts under simple distributions - M. Li and P. M. B. Vitanyi - 1991
View the documentLearning simple deterministic languages - H. Ishizaka - 1989
View the documentLearning simpleBoolean concepts - N. Littlestone - 1992
View the documentLearning sparse linear combinations of basis functions over a finite domain - Atsuyoshi Nakamura and Shinji Miura - 1995
View the documentLearning sparse multivariate polynomials over a field with queries and counterexamples - Robert E. Schapire and Linda M. Sellie - 1996
View the documentLearning Stochastic Feedforward Networks - R. M. Neal - November 1990
View the documentLearning stochastic functions by smooth simultaneous estimation - K. L. Buescher and P. R. Kumar - 1992
View the documentLearning Strategies - D. Osherson, M. Stob and S. Weinstein - 1982
View the documentLearning strategies using decision lists - S. Kobayashi - 1993
View the documentLearning string edit distance - Eric Sven Ristad and Peter N. Yianilos - 1997
View the documentLearning String patterns and Tree Patterns from Examples - K. Ko and Assaf T. W. Marron - 1990
View the documentLearning strongly deterministic even linear languages from positive examples - Takeshi Koshiba, Erkki Mäkinen and Yuji Takada - 1995
View the documentLearning Structural Descriptions from Examples - P. H. Winston - 1975
View the documentLearning structurally reversible context-free grammars from queries and counterexamples in polynomial time - A. Burago - 1994
View the documentLearning structure from data: a survey - J. Pearl and R. Dechter - 1989
View the documentLearning switch configurations - V. Raghavan and S. R. Schach - 1990
View the documentLearning switching concepts - A. Blum and P. Chalasani - 1992
View the documentLearning symbolic prototypes - Piew Datta and Dennis Kibler - 1997
View the documentLearning Syntax by Automata Induction - Robert C. Berwick and Sam Pilato - 1987
View the documentLearning the CLASSIC Description Logic: Theoretical and Experimental Results - William W. Cohen and Haym Hirsh - 1994
View the documentLearning the Distribution in the Extended PAC Model - N. Cesa-Bianchi - 1990
View the documentLearning the fourier spectrum of probabilistic lists and trees - W. Aiello and M. Mihail - January 1991
View the documentLearning theories in a subset of a polyadic logic - R. B. Banerji - 1988
View the documentLearning Theory and Natural Language - D. N. Osherson, M. Stob and S. Weinstein - 1984
View the documentLearning theory toward genome informatics - S. Miyano - 1993
View the documentLearning time varying concepts - T. Kuh, T. Petsche and R. Rivest - 1990
View the documentLearning Time-Varying Concepts - A. Kuh, T. Petsche and R. L. Rivest - 1991
View the documentLearning to Classify Incomplete Examples - Dale Schuurmans and Russell Greiner - 1997
View the documentLearning to Coordinate Behaviors - P. Maes and R. A. Brooks - July 1990
View the documentLearning to make rent-to-buy decisions with systems applications - P. Krishnan, Philip M. Long and Jeffrey Scott Vitter - 1995
View the documentLearning to model sequences generated by switching distributions - Yoav Freund and Dana Ron - 1995
View the documentLearning to Perceive and Act by Trial and Error - Steven D. Whitehead and Dana H. Ballard - 1991
View the documentLearning to Predict by the Methods of Temporal Differences - Richard S. Sutton - 1988
View the documentLearning to Predict Non-Deterministically Generated Strings - Moshe Koppel - 1991
View the documentLearning to reason with a restricted view - Roni Khardon and Dan Roth - 1995
View the documentLearning to Select Useful Landmarks - Russell Greiner and Ramana Isukapalli - JUN 1996
View the documentLearning two-tape automata from queries and counterexamples - T. Yokomori - 1993
View the documentLearning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System - F. Bergadano et al. - 1992
View the documentLearning under persistent drift - Yoav Freund and Yishay Mansour - 1997
View the documentLearning unions of boxes with membership and equivalence queries - P. W. Goldberg, S. A. Goldman and H. D. Mathais - 1994
View the documentLearning Unions of Convex Polygons - P. Fischer - 1994
View the documentLearning unions of tree patterns using queries - Hiroki Arimura, Hiroki Ishizaka and Takeshi Shinohara - 1995
View the documentLearning unions of two rectangles in the plane with equivalence queries - Z. Chen - 1993
View the documentLearning useful Horn approximations - Russell Greiner and Dale Schuurmans - October 1992
View the documentLearning using group representations - Dan Boneh - 1995
View the documentLearning via Fourier Transform - Y. Mansour - April 1990
View the documentLearning via Queries - W. Gasarch and C. H. Smith - July 1992
View the documentLearning via queries and oracles - Frank Stephan - 1995
View the documentLearning via Queries, Teams, and Anomalies - William Gasarch, Efim Kinber, Mark Pleszkoch, Carl Smith and Thomas Zeugmann - 1995
View the documentLearning via Queries to - W. Gasarch, M. Pleszkoch and R. Solovay - March 1992
View the documentLearning via queries with teams and anomalies - E. B. Kinber, W. I. Gasarch, T. Zeugmann, M. K. Pleszkoch and C. H. Smith - 1990
View the documentLearning when Irrelevant Attributes Abound: A New Linear-threshold Algorithm - N. Littlestone - 1988
View the documentLearning when to trust which experts - David Helmbold, Stephen Kwek and Leonard Pitt - 1997
View the documentLearning with a slowly changing distribution - P. L. Bartlett - 1992
View the documentLearning with discrete multivalued neurons - Zoran Obradović and Ian Parberry - 1994
View the documentLearning with Genetic Algorithms: An Overview - Kenneth De Jong - 1988
View the documentLearning with growing quality - J. Viksna - 1993
View the documentLearning with higher order additional information - G. Baliga and J. Case - 1994
View the documentLearning with hints - D. Angluin - 1988
View the documentLearning with malicious membership queries and exceptions - D. Angluin and M. Kriķis - 1994
View the documentLearning with Maximum-Entropy Distributions - Yishay Mansour and Mariano Schain - 1997
View the documentLearning with Minimal Number of Queries - S. Matar - 1993
View the documentLearning with queries but incomplete information - R. H. Sloan and G. Turán - 1994
View the documentLearning with rare cases and small disjuncts - Gary M. Weiss - 1995
View the documentLearning with restricted focus of attention - S. Ben-David and E. Dichterman - 1993
View the documentLearning with the Knowledge of an Upper Bound on Program Size - S. Jain and A. Sharma - 1993
View the documentLearning with unreliable boundary queries - Avrim Blum, Prasad Chalasani, Sally A. Goldman and Donna K. Slonim - 1995
View the documentLearning without state-estimation in partially observable Markovian decision processes - Satinder P. Singh, Tommi Jaakkola and Michael I. Jordan - 1994
View the documentLearning word association norms using tree cut pair models - Naoki Abe and Hang Li - 1996
View the documentLeistungsfahigkeit und Kmpliziertheit universeller Verfahren zur Erkennung allgemein-rekursiver Funktinen - K. Jantke - 1979
View the documentA Lemma on the Multiarmed Bandit Problem - J. N. Tsitsiklis - June 1986
View the documentLernverfahren zur erkennung formaler sprachen - H. Thiele - 1973
View the documentLessons from theory revision applied to constructive induction - Stephen K. Donoho and Larry A. Rendell - 1995
View the documentLetter Recognition Using Holland-Style Adaptive Classifiers - Peter W. Frey and David J. Slate - 1991
View the documentA lexically based semantic bias for theory revision - Clifford Brunk and Michael Pazzani - 1995
View the documentThe light bulb problem - R. Paturi, S. Rajasekaran and J. Reif - 1989
View the documentLimes-Erkennung rekursiver Funktionen durch spezielle Strategien - R. Wiehagen - 1976
View the documentLimes-rekursive Funktionen - R. Klette and B. Goetze - 1975
View the documentLimit Identification of Minimal Gödel Numbers - R. Freivalds and E. B. Kinber - 1977
View the documentLimiting Recursion - E. M. Gold - 1965
View the documentLimiting synthesis of t numbers - J. M. Barzdin - 1974
View the documentLinear algebraic proofs of VC-dimension based inequalities - Leonid Gurvits - 1997
View the documentLinear and Nonlinear Programming - D. G. Luenberger - 1984
View the documentLinear Function Neurons: Structure and Training - S. E. Hampson and D. J. Volper - 1986
View the documentLinear least-squares algorithms for temporal difference learning - Steven J. Bradtke and Andrew G. Barto - 1996
View the documentLinear manifolds are learnable from positive examples - H. Shvaytser - 1988
View the documentLinear time deterministic learning of k-term DNF - U. Berggren - 1993
View the documentThe LISP program for inductive inference on sequences - M. Pivar and E. Gord - 1964
View the documentLocalization vs. identification of semi-algebraic sets - S. Ben-David and M. Lindenbaum - 1993
View the documentThe Logic of Learning: a Basis for Pattern Recognition and for Improvement of Performance - R. B. Banerji - 1985
View the documentThe logic of molecular geneticists for the understanding of genetic information - Y. Sakaki - 1992
View the documentA logical analysis of relevance in analogy - J. Arima - 1992
View the documentLogical Networks and Probability - F. H. George - 1957
View the documentA loss bound model for on-line stochastic prediction strategies - K. Yamanishi - 1991
View the documentThe loss from imperfect value functions in expectation-based and minimax-based tasks - Matthias Heger - 1996
View the documentA Loss-Bound Model for On-line Stochastic Prediction Strategies - K. Yamanishi - 1991
View the documentLower Bound Methods and Separation Results for On-Line Learning Models - Wolfgang Maass and György Turán - 1992
View the documentLower bound on learning decision lists and trees - Thomas Hancock, Tao Jiang, Ming Li and John Tromp - 1996
View the documentLower bounds for PAC learning with queries - G. Turán - 1993
View the documentLower bounds on the Vapnik-Chervonenkis dimension of multi-layer threshold networks - P. Bartlett - 1993
View the documentLower bounds on the VC-dimension of smoothly parametrized function classes - W. S. Lee, P. L. Bartlett and R. C. Williamson - 1994
View the documentLT Revisited: Explanation-Based Learning and the Logic of Principia Mathematica - Paul O’Rorke - 1989