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 Rademacher and Gaussian Complexities: Risk Bounds and Structural Results - Peter L. Bartlett and Shahar Mendelson - 2001
View the document Radial Basis Function Neural Networks Have Superlinear VC Dimension - Michael Schmitt - 2001
View the document Radial Basis Functions for Multivariable Interpolation: A Review - M. J. D. Powell - 1987
View the document Random DFA's can be approximately learned from sparse uniform examples - K. J. Lang - 1992
View the document Random Forests - Leo Breiman - 2001
View the document A randomized ANOVA procedure for comparing performance curves - Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang and Michael Atighetchi - 1998
View the document Randomized approximate aggregating strategies and their applications to prediction and discrimination - Kenji Yamanishi - 1995
View the document A randomized approximation of the MDL for stochastic models with hidden variables - Kenji Yamanishi - 1996
View the document Randomized hypotheses and minimum disagreement hypotheses for learning with noise - Nicolò Cesa-Bianchi, Paul Fischer, Eli Shamir and Hans Ulrich Simon - 1997
View the document Randomizing Outputs to Increase Prediction Accuracy - Leo Breiman - 2000
View the document Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle - Dana Angluin and Donna K. Slonim - 1994
View the document A random sampling based algorithm for learning the intersection of half-spaces (extended abstract) - Santosh Vempala - 1997
View the document A Random Sampling Technique for Training Support Vector Machines - Jose Balcàzar, Yang Dai and Osamu Watanabe - 2001
View the document Rapid Construction of algebraic axioms from samples - J. M. Barzdin and G. Barzdin - 1991
View the document Rate of approximation results motivated by robust neural network learning - C. Darken, M. Donahue, L. Gurvits and E. Sontag - 1993
View the document Rates of convergence for minimum contrast estimators - L. Birge and P. Massart - 1993
View the document Rates of Convergence for Variable Resolution Schemes in Optimal Control - Rémi Munos and Andrew W. Moore - 2000
View the document Rationality - Leslie G. Valiant - 1995
View the document RBF Neural Networks and Descartes' Rule of Signs - Michael Schmitt - 2002
View the document Read-thrice DNF is hard to learn with membership and equivalence queries - H. Aizenstein, L. Hellerstein and L. Pitt - 1992
View the document Read-twice DNF Formulas are Properly Learnable - K. Pillaipakkamnatt and V. Raghavan - 1994
View the document Real Analysis - H. Royden - 1963
View the document Realization of boolean functions with a small number of zeros by disjunctive normal forms, and related problems - Y. Zhuravlev and Y. Kogan - 1985
View the document Real language learning - Jerome A. Feldman - 1998
View the document Real-Valued Multiple-Instance Learning with Queries - Daniel R. Dooly, Sally A. Goldman and Stephen S. Kwek - 2001
View the document Real-World Robotics: Learning to Plan for Robust Execution - Scott W. Bennett and Gerald F. DeJong - 1996
View the document Reasoning by Analogy as a Partial Identity between Models - Makoto Haraguchi and Setsuo Arikawa - 1986
View the document Recent advances in inductive logic programming - S. Muggleton - 1994
View the document Recent Advances in Robot Learning - J. Franklin and T. Mitchell and S. Thrun - 1996
View the document Recent advances of grammatical inference - Yasubumi Sakakibara - 1997
View the document Recent Methods for RNA Modeling Using Stochastic Context-Free Grammars - Yasubumi Sakakibara, Michael Brown, Richard Hughey, I. Saira Mian, Kimmen Sjölander, Rebecca C. Underwood and David Haussler - 1994
View the document Recent Results on Boolean Concept Learning - M. Kearns, M. Li, L. Pitt and L. Valiant - June 1987
View the document Recognition and exploitation of contextual clues via incremental meta-learning - Gerhard Widmer - 1996
View the document Recognizing algorithms for recursive functions - R. Klette - 1976
View the document A Reconfigurable Analog (VLSI Neural Network Chip - H. P. Graf, S. Satyanarayana and Y. Tsividis - 1989
View the document Reconstructing algebraic functions from mixed data - S. Ar, R. J. Lipton, R. Rubinfeld and M. Sudan - 1992
View the document Recovery from multiple faults in relational theory - S. Tangkitvanich and M. Shimura - 1992
View the document Recurrent neural networks with continuous topology adaptation, Kalman filter bsed training - Dragan Obradovic - 1997
View the document Recurrent neural networks with time-dependent inputs and outputs - Volkmar Sterzing and Bernd Schürmann - 1995
View the document Recursion Theoretic Characterizations of Language Learning - S. Jain and A. Sharma - 1989
View the document Recursion theoretic models of learning: some results and intuitions - Carl H. Smith and William I. Gasarch - 1995
View the document Recursive automatic bias selection for classifier construction - Carla E. Brodley - 1995
View the document Recursiveness of the Enumerating Functions Increases the Inferrability of Recursively Enumerable Sets - R. Freivalds - 1985
View the document Reducing complexity of decision trees with two variable tests - R. A. Pearson and E. K. T. Smith - 1996
View the document Reducing misclassification costs - Michael Pazzani, Christopher Merz, Patrick Murphy, Kamal Ali, Timothy Hume and Clifford Brunk - 1994
View the document Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers - Erin L. Allwein, Robert E. Schapire and Yoram Singer - 2000
View the document Reducing Search Space in Solving Higher-Order Equations - Tetsuo Ida, Mircea Marin and Taro Suzuki - 2001
View the document Reducing the number of queries in self-directed learning - Yiqun L. Yin - 1995
View the document Reducing the small disjuncts problem by learning probabilistic concept descriptions - Kamal M. Ali and Michael J. Pazzani - 1995
View the document Reductions for learning via queries - William Gasarch and Geoffrey R. Hird - 1995
View the document Reduction Techniques for Instance-Based Learning Algorithms - D. Randall Wilson and Tony R. Martinez - 2000
View the document Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow - N. Littlestone - 1991
View the document Refined Incremental Learning - S. Lange and T. Zeugmann - 1995
View the document Refined Query Inference - E. B. Kinber and T. Zeugmann - 1989
View the document Refinement of Rule Sets with JoJo - Dieter Fensel and Markus Wiese - 1993
View the document Refinements of Inductive Inference by Popperian and Reliable Machines - John Case, Sanjay Jain and Suzanne Ngo-Manguelle - 1994
View the document Refinements of inductive inference by Popperian machines - J. Case and S. Ngo-Manguelle - 1979
View the document Refining algorithms with knowledge-based neural networks: improving the Cho-Fasman algorithm for protein folding - Richard Maclin and Jude W. Shavlik - 1994
View the document Refining initial points for K-Means clustering - Paul S. Bradley and Usama M. Fayyad - 1998
View the document Refining Numerical Constants in First Order Logic Theories - Marco Botta and Roberto Piola - 2000
View the document Reflecting and Self-Confident Inductive Inference Machines - Klaus P. Jantke - 1995
View the document Reflecting inductive inference machines and its improvement by therapy - Gunter Grieser - 1996
View the document Reflective Inductive Inference of Recursive Functions - Gunter Grieser - 2002
View the document Reformulation of Explanation by Linear Logic - Toward Logic for Explanation - - Jun Arima and Hajime Sawamura - 1993
View the document Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns - Masako Sato, Yasuhito Mukouchi and Mikiharu Terada - 2001
View the document Refutable inference of functions computed by loop programs - T. Miyahara - 1995
View the document Refutable Language Learning with a Neighbor System - Yasuhito Mukouchi and Masako Sato - 2001
View the document Refutably Probably Approximately Correct Learning - Satoshi Matsumoto and Ayumi Shinohara - 1994
View the document Refuting Learning Revisited - Wolfgang Merkle and Frank Stephan - 2001
View the document A region-based learning approach to discovering temporal structures in data - Wei Zhang - 1999
View the document Regression NSS: an alternative to cross validation - Michael P. Perrone and Brian S. Blais - 1995
View the document Regressiveness - M. Fulk - 1989
View the document Regret bounds for prediction problems - Geoffrey J. Gordon - 1999
View the document Regular grammatical inferencefrom positive and negative samples by genetic search: The GIG method - P. Dupon - 1994
View the document Regular inference with a tail-clustering method - L. Miclet - 1980
View the document Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks - T. Poggio and F. Girosi - February 23 1990
View the document Regularization learning of neural networks for generalization - Shotaro Akaho - 1993
View the document Regularized Principal Manifolds - Alex J. Smola, Robert C. Williamson, Sebastian Mika and Bernhard Schölkopf - 1999
View the document A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments - José Del R. Millán and Carme Torras - 1992
View the document A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker - Fredrik A. Dahl - 2001
View the document Reinforcement learning and mistake bounded algorithms - Yishay Mansour - 1999
View the document Reinforcement Learning Architectures for Animats - R. S. Sutton - 1991
View the document Reinforcement learning by stochastic hill climbing on discounted reward - Hajime Kimura, Masayuki Yamamura and Shigenobu Kobayashi - 1995
View the document Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks - Hui Tong and Timothy X. Brown - 2002
View the document Reinforcement Learning in Dynamic Environments using Instantiated Information - Marco A. Wiering - 2001
View the document Reinforcement learning in factories: the auton project (abstract) - Andrew W. Moore - 1996
View the document Reinforcement Learning in POMDP's via Direct Gradient Ascent - Jonathan Baxter and Peter L. Bartlett - 2000
View the document Reinforcement learning in POMDPs with function approximation - Hajime Kimura, Kazuteru Miyazaki and Shigenobu Kobayashi - 1997
View the document Reinforcement Learning with Bounded Risk - Peter Geibel - 2001
View the document Reinforcement Learning with Replacing Eligibility Traces - Satinder P Singh and Richard S. Sutton - 1996
View the document Reinterpreting the Category Utility Function - Boris Mirkin - 2001
View the document Rekursionstheoretische Charakterisierung von erkennbaren Klassen rekursiver Funktionen - R. Wiehagen and H. Jung - 1977
View the document Relational instance-based learning - Werner Emde and Dietrich Wettschereck - 1996
View the document Relational Instance-Based Learning with Lists and Terms - Tamás Horváth, Stefan Wrobel and Uta Bohnebeck - 2001
View the document Relational Learning with Statistical Predicate Invention: Better Models for Hypertext - Mark Craven and Seán Slattery - 2001
View the document Relational reinforcement learning - Sašo Džeroski, Luc De Raedt and Hendrik Blockeel - 1998
View the document Relational Reinforcement Learning - Saso Dzeroski, Luc De Raedt and Kurt Driessens - 2001
View the document Relations between probabilistic and team one-shot learners - R. Daley, L. Pitt, M. Velauthapillia and T. Will - 1991
View the document Relationships between PAC-learning algorithms and weak Occam algorithms - E. Takimoto and A. Maruoka - 1992
View the document Relative Expexted Instantaneous Loss Bounds - Jürgen Forster and Manfred Warmuth - 2000
View the document Relative information - G. Jumarie - 1990
View the document Relative Loss Bounds for Multidimensional Regression Problems - J. Kivinen and M. K. Warmuth - 2001
View the document Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions - Katy S. Azoury and M. K. Warmuth - 2001
View the document Relative Loss Bounds for Temporal-Difference Learning - Jürgen Forster and Manfred Warmuth - 2000
View the document Relative Sizes of Learnable Sets - Lance Fortnow, Rīsiņs Freivalds, William I. Gasarch, Martin Kummer, Stuart A. Kurtz, Carl H. Smith and Frank Stephan - 1998
View the document Relative Unsupervised Discretization for Regression Problems - Marcus-Christopher Ludl and Gerhard Widmer - 2000
View the document The Relaxed Online Maximum Margin Algorithm - Yi Li and Philip M. Long - 2002
View the document Relevance Feedback using Support Vector Machines - Harris Drucker, Behzad Shahrary and David C. Gibbon - 2001
View the document Reliable and useful learning - J. Kivinen - 1989
View the document A remark on discovery algorithms for grammars - E. Shamir - 1962
View the document Removing the genetics from the standard genetic algorithm - Shumeet Baluja and Rich Caruana - 1995
View the document Repairing Faulty Mixture Models using Density Estimation - Peter Sand and Andrew W. Moore - 2001
View the document A Reply to Cohen's Book Review of Creating a Memory of Causal Relationships - Michael Pazzani - 1993
View the document A Reply to Hellerstein's Book Review of Machine Learning: A Theoretical Approach - B. K. Natarajan - 1993
View the document A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning - J. Stephen Judd - 1992
View the document A Reply to Pazzani's Book Review of Inductive Logic Programming: Techniques and Applications - Nada Lavrac and Saso Dzeroski - 1996
View the document A Reply to Reich's Book Review of Exemplar-Based Knowledge Acquisition - Ray Bareiss - 1991
View the document A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance - Dean A. Pomerleau - 1995
View the document A Reply to Zito-Wolf's Book Review of Learning Search Control Knowledge: An Explanation-Based Approach - Steven Minton - 1991
View the document Representation changes for efficient learning in structural domains - Jean-Daniel Zucker and Jean-Gabriel Ganascia - 1996
View the document Representation of finite state automata in recurrent radial basis function networks - Paolo Frasconi, Marco Gori, Marco Maggini and Giovanni Soda - 1996
View the document The representation of recursive languages and its impact on the efficiency of learning - S. Lange - 1994
View the document Representation Propoerties of Networks: Kolmogorov's Theorm Is Irrelevant - T. Poggio and F. Girosi - 1989
View the document The Representation Race - Preprocessing for Handling Time Phenomena - Katharina Morik - 2000
View the document representing and learning quality-improving search control knowledge - M. Alicia Pérez - 1996
View the document Representing Probabilistic Rules with Networks of Gaussian Basis Functions - Volker Tresp, Jürgen Hollatz and Subutai Ahmad - 1997
View the document Requests for hints that return no hints - D. Angluin - 1988
View the document Research in the Theory of Inductive Inference by GDR mathematicians - A Survey - R. Klette and R. Wiehagen - 1980
View the document (Research Note) Classification accuracy: Machine learning vs. explicit knowledge acquisition - Arie Ben-David and Janice Mandel - 1995
View the document Research Note on Decision Lists - Ron Kohavi and Scott Benson - 1993
View the document Research Papers in Machine Learning - P. Langley - 1987
View the document Residual algorithms: reinforcement learning with function approximation - Leemon Baird - 1995
View the document Residual Q-learning applied to visual attention - Cesar Bandera, Francisco J. Vico, Jose M. Bravo, Mance E. Harmon and Leemon C. Baird III - 1996
View the document Resource-Bounded Measure and Learnability - W. Lindner, R. Schuler and O. Watanabe - 2000
View the document Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line - Susanne Kaufmann and Frank Stephan - 1997
View the document Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching - M. Sebag and C. Rouveirol - 2000
View the document Restrictions on Grammar Size in Language Identification - S. Jain and A. Sharma - March 1991
View the document A result of Vapnik with applications - M. Anthony and J. Shawe-Taylor - 1990
View the document A result relating convex n-widths to covering numbers with some applications to neural networks - Jonathan Baxter and Peter Bartlett - 1997
View the document Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm - Kevin J. Lang, Barak A. Pearlmutter and Rodney A. Price - 1998
View the document Results on Learnability and the Vapnik-Chervonenkis Dimension - N. Linial, Y. Mansour and R. L. Rivest - January 1991
View the document Retrofitting decision tree classifiers using kernel density estimation - Padhraic Smyth, Alexander Gray and Usama M. Fayyad - 1995
View the document Review of Five Empirical Learning Systems Within a Proposed Schemata - M. Gams and N. Lavrac - May 1987
View the document Review of Inductive Logic Programming: Techniques and Applications by Nada Lavrac, Saso Dzeroski - Michael Pazzani - 1996
View the document Review of "Limiting recursion" by E.M. Gold and "Trial and error predicates and the solution to a problem of Mostowski" by H. Putnam - N. Shapiro - 1971
View the document A Review of Machine Learning at AAAI-87 - R. Greiner, B. Silver, S. Becker and M. Grüninger - 1988
View the document A Review of the Fourth International Workshop on Machine Learning - R. P. Hall, B. Falkenhainer, N. Flann, S. Hampson, R. Reinke, J. Shrager, M. H. Sims and P. Tadepalli - 1987
View the document Revision of production system rule-bases - Patrick M. Murphy and Michael J. Pazzani - 1994
View the document Reward functions for accelerated learning - Maja J. Mataric - 1994
View the document Rich Classes Inferable from Positive Data: Length-Bounded Elementary Formal Systems - Takeshi Shinohara - 1994
View the document Ridge regression learning algorithm in dual variables - G. Saunders, A. Gammerman and V. Vovk - 1998
View the document Ridge Regressioon Confidence Machine - Ilia Nouretdinov, Tom Melluish and Volodya Vovk - 2001
View the document Rigel: An Inductive Learning System - Roberto Gemello, Franco Mana and Lorenza Saitta - 1991
View the document Rigorous learning curve bounds from statistical mechanics - D. Haussler, M. Kearns, H. S. Seung and N. Tishby - 1994
View the document Risk-Sensitive Reinforcement Learning - Oliver Mihatsch and Ralph Neuneier - 2002
View the document RL-TOPs: an architecture for modularity and re-use in reinforcement learning - Malcolm R. K. Ryan and Mark D. Pendrith - 1998
View the document RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars - L. Grate, M. Herbster, R. Hughey, I. S. Mian, H. Noller and D. Haussler - August 1994
View the document Robot Baby 2001 - Paul R. Cohen, Tim Oates, Niall Adams and Carole R. Beal - 2001
View the document Robot learning from demonstration - Christopher G. Atkeson and Stefan Schaal - 1997
View the document Robot localization in a grid - Chinda Wongngamnit and Dana Angluin - 2001
View the document Robot Navigation with Distance Queries - Dana Angluin, Jeffery Westbrook and Wenhong Zhu - 2000
View the document Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction - H. Friedrich, S. Münch, R. Dillman, S. Bocionek and M. Sassin - 1996
View the document Robust behaviorally correct learning - S. Jain - 1999
View the document Robust Classification for Imprecise Environments - Foster Provost and Tom Fawcett - 2001
View the document Robust Learning Aided by Context - John Case, Sanjay Jain, Matthias Ott, Arun Sharma and Frank Stephan - 2000
View the document Robust Learning Is Rich - Sanjay Jain, Carl Smith and Rolf Wiehagen - 2001
View the document Robust Learning - Rich and Poor - John Case, Sanjay Jain, Frank Stephan and Rolf Wiehagen - 2001
View the document Robust learning with infinite additional information - Susanne Kaufmann and Frank Stephan - 2001
View the document Robust learning with infinite additional information - Susanne Kaufmann and Frank Stephan - 1997
View the document Robust Learning with Missing Data - Marco Ramoni and Paola Sebastiani - 2001
View the document The robustness of the p-norm algorithms - Claudio Gentile and Nick Littlestone - 1999
View the document Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition - Javier R. Movellan and Paul Mineiro - 1998
View the document Robust separations in inductive inference - M. A. Fulk - 1990
View the document Robust trainability of single neurons - K. Höffgen and H. Simon - 1992
View the document Robust trainability of single neurons - Klaus-U. Höffgen, Hans-U. Simon and Kevin S. Van Horn - 1995
View the document The role of learning in autonomous robots - R. Brooks - 1991
View the document Rough Sets and Ordinal Classification - Jan C. Bioch and Viara Popova - 2000
View the document Round Robin Rule Learning - Johannes Fürnkranz - 2001
View the document Rule-Based Ensemble Solutions for Regression - Nitin Indurkhya and Sholom M. Weiss - 2001
View the document Rule Combination in Inductive Learning - L. Torgo - 1993
View the document Rule Discovery from fMRI Brain Images by Logical Regression Analysis - Hiroshi Tsukimoto, Mitsuru Kakimoto, Chie Morita and Yoshiaki Kikuchi - 2001
View the document Rule-Generating Abduction for Recursive Prolog - Kouichi Hirata - 1994
View the document Rule induction for semantic query optimization - Chun-Nan Hsu and Craig A. Knoblock - 1994