 | Q-learning for bandit problems - Michael O. Duff - 1995 |
| Quantifying Inductive Bias: AI Learning Algorithms and Valiant’s Learning Framework - D. Haussler - 1988 |
| Quantifying Prior Determination Knowledge Using the PAC Learning Model - Sridhar Mahadevan and Prasad Tadepalli - 1994 |
| A quantitative study of hypothesis selection - Philip W. L. Fong - 1995 |
| Queries and Concept Learning - D. Angluin - April 1988 |
| Query by committee - H. S. Seung, M. Opper and H. Sompolinsky - 1992 |
| The query complexity of learning some subclasses of context-free grammars - Carlos Domingo and Victor Lavín - 1995 |
| Query-by-Example: a data base language - M. Zloof - 1977 |
| Radial Basis Functions for Multivariable Interpolation: A Review - M. J. D. Powell - 1987 |
| Random DFA’s can be approximately learned from sparse uniform examples - K. J. Lang - 1992 |
| Randomized approximate aggregating strategies and their applications to prediction and discrimination - Kenji Yamanishi - 1995 |
| A randomized approximation of the MDL for stochastic models with hidden variables - Kenji Yamanishi - 1996 |
| Randomized hypotheses and minimum disagreement hypotheses for learning with noise - Nicolò Cesa-Bianchi, Paul Fischer, Eli Shamir and Hans Ulrich Simon - 1997 |
| Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle - Dana Angluin and Donna K. Slonim - 1994 |
| Rate of approximation results motivated by robust neural network learning - C. Darken, M. Donahue, L. Gurvits and E. Sontag - 1993 |
| Rates of convergence for minimum contrast estimators - L. Birge and P. Massart - 1993 |
| Rationality - Leslie G. Valiant - 1995 |
| Read-thrice DNF is hard to learn with membership and equivalence queries - H. Aizenstein, L. Hellerstein and L. Pitt - 1992 |
| Read-twice DNF Formulas are Properly Learnable - K. Pillaipakkamnatt and V. Raghavan - 1994 |
| Real Analysis - H. Royden - 1963 |
| Realization of boolean functions with a small number of zeros by disjunctive normal forms, and related problems - Y. Zhuravlev and Y. Kogan - 1985 |
| Real-World Robotics: Learning to Plan for Robust Execution - Scott W. Bennett and Gerald F. DeJong - 1996 |
| Recent advances in inductive logic programming - S. Muggleton - 1994 |
| 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 |
| Recent Results on Boolean Concept Learning - M. Kearns, M. Li, L. Pitt and L. Valiant - June 1987 |
| Recognition and exploitation of contextual clues via incremental meta-learning - Gerhard Widmer - 1996 |
| Recognizing algorithms for recursive functions - R. Klette - 1976 |
| A Reconfigurable Analog VLSI Neural Network Chip - H. P. Graf, S. Satyanarayana and Y. Tsividis - 1989 |
| Reconstructing algebraic functions from mixed data - S. Ar, R. J. Lipton, R. Rubinfeld and M. Sudan - 1992 |
| Recovery from multiple faults in relational theory - S. Tangkitvanich and M. Shimura - 1992 |
| Recursion Theoretic Characterizations of Language Learning - S. Jain and A. Sharma - 1989 |
| Recursion theoretic models of learning: some results and intuitionsProblems - William Gasarch and Carl H. Smith - 1995 |
| Recursive automatic bias selection for classifier construction - Carla E. Brodley - 1995 |
| Recursive linear estimation in Krein spaces - part I: Theory - B. Hassibi, A. H. Sayed and T. Kailath - December 1993 |
| Recursiveness of the Enumerating Functions Increases the Inferrability of Recursively Enumerable Sets - R. Freivalds - 1985 |
| Reducing misclassification costs - Michael Pazzani, Christopher Merz, Patrick Murphy, Kamal Ali, Timothy Hume and Clifford Brunk - 1994 |
| Reducing the number of queries in self-directed learning - Yiqun L. Yin - 1995 |
| Reductions for learning via queries - William Gasarch and Geoffrey R. Hird - 1995 |
| Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow - N. Littlestone - 1991 |
| Refined Incremental Learning - S. Lange and T. Zeugmann - 1995 |
| Refined Query Inference - E. B. Kinber and T. Zeugmann - 1989 |
| Refinements of Inductive Inference by Popperian and Reliable Machines - J. Case, S. Jain and S. Ngo Manguelle - 1994 |
| Refinements of inductive inference by Popperian machines - J. Case and S. Ngo-Manguelle - 1979 |
| Refinements of Inductive Inference by Popperian Machines - J. Case and S. Ngo Manguelle - 1979 |
| Reflecting and self-confident inductive inference machines - Klaus P. Jantke - 1995 |
| Reformulation of explanation by linear logic - toward logic for explanation - J. Arima and H. Sawamura - 1993 |
| Refutably probably approximately correct learning - S. Matsumoto and A. Shinohara - 1994 |
| Regression NSS: an alternative to cross validation - Michael P. Perrone and Brian S. Blais - 1995 |
| Regressiveness - M. Fulk - 1989 |
| Regular inference with a tail-clustering method - L. Miclet - 1980 |
| Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks - T. Poggio and F. Girosi - February 23 1990 |
| Regularization learning of neural networks for generalization - S. Akaho - 1992 |
| A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments - José Del R. Millán and Carme Torras - 1992 |
| Reinforcement Learning Architectures for Animats - R. S. Sutton - 1991 |
| Reinforcement learning by stochastic hill climbing on discounted reward - Hajime Kimura, Masayuki Yamamura and Shigenobu Kobayashi - 1995 |
| Reinforcement learning in factories: the auton project abstract - Andrew W. Moore - 1996 |
| Reinforcement learning in POMDPs with function approximation - Hajime Kimura, Kazuteru Miyazaki and Shigenobu Kobayashi - 1997 |
| Reinforcement Learning with Replacing Eligibility Traces - Satinder P Singh and Richard S. Sutton - 1996 |
| Rekursionstheoretische charakterisierung von erkennbaren klassen rekursiver funktionen - R. Wiehagen and H. Jung - 1977 |
| Relational instance-based learning - Werner Emde and Dietrich Wettschereck - 1996 |
| Relations between probabilistic and team one-shot learners - R. Daley, L. Pitt, M. Velauthapillia and T. Will - 1991 |
| Relationships between PAC-learning algorithms and weak Occam algorithms - E. Takimoto and A. Maruoka - 1992 |
| Relative information - G. Jumarie - 1990 |
| Reliable and useful learning - J. Kivinen - 1989 |
| A remark on discovery algorithms for grammars - E. Shamir - 1962 |
| Removing the genetics from the standard genetic algorithm - Shumeet Baluja and Rich Caruana - 1995 |
| A Reply to Cohen’s Book Review of Creating a Memory of Causal Relationships - Michael Pazzani - 1993 |
| A Reply to Hellerstein’s Book Review of Machine Learning: A Theoretical Approach - B. K. Natarajan - 1993 |
| A Reply to Honavar’s Book Review of Neural Network Design and the Complexity of Learning - J. Stephen Judd - 1992 |
| A Reply to Pazzani’s Book Review of Inductive Logic Programming: Techniques and Applications - Nada Lavrac and Saso Dzeroski - 1996 |
| A Reply to Reich’s Book Review of Exemplar-Based Knowledge Acquisition - Ray Bareiss - 1991 |
| A Reply to Towell’s Book Review of Neural Network Perception for Mobile Robot Guidance - Dean A. Pomerleau - 1995 |
| A Reply to Zito-Wolf’s Book Review of Learning Search Control Knowledge: An Explanation-Based Approach - Steven Minton - 1991 |
| Representation changes for efficient learning in structural domains - Jean-Daniel Zucker and Jean-Gabriel Ganascia - 1996 |
| Representation of finite state automata in recurrent radial basis function networks - Paolo Frasconi, Marco Gori, Marco Maggini and Giovanni Soda - 1996 |
| The representation of recursive languages and its impact on the efficiency of learning - S. Lange - 1994 |
| Representation Propoerties of Networks: Kolmogorov’s Theorm Is Irrelevant - T. Poggio and F. Girosi - 1989 |
| representing and learning quality-improving search control knowledge - M. Alicia Pérez - 1996 |
| Representing Probabilistic Rules with Networks of Gaussian Basis Functions - Tresp Volker, Hollatz Jrgen and Subutai Ahmad - 1997 |
| Requests for hints that return no hints - D. Angluin - 1988 |
| Research in the Theory of Inductive Inference by GDR mathematicians - A Survey - R. Klette and R. Wiehagen - 1980 |
| Research Note Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition - Arie Ben-David and Janice Mandel - 1995 |
| Research Note: Classification accuracy: machine learning vs. explicit knowledge acquisition - Ben-David Arie and Janice Mande - 1995 |
| Research Note on Decision Lists - Ron Kohavi and Scott Benson - 1993 |
| Research Papers in Machine Learning - P. Langley - 1987 |
| Residual algorithms: reinforcement learning with function approximation - Leemon Baird - 1995 |
| Residual Q-learning applied to visual attention - Cesar Bandera, Francisco J. Vico, Jose M. Bravo, Mance E. Harmon and Leemon C. Baird III - 1996 |
| Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line - Susanne Kaufmann and Frank Stephan - 1997 |
| Restrictions on Grammar Size in Language Identification - S. Jain and A. Sharma - March 1991 |
| A result of Vapnik with applications - M. Anthony and J. Shawe-Taylor - 1990 |
| A result relating convex n-widths to covering numbers with some applications to neural networks - Jonathan Baxter and Peter Bartlett - 1997 |
| Results on Learnability and the Vapnik-Chervonenkis Dimension - N. Linial, Y. Mansour and R. L. Rivest - January 1991 |
| Retrofitting decision tree classifiers using kernel density estimation - Padhraic Smyth, Alexander Gray and Usama M. Fayyad - 1995 |
| Review of Five Empirical Learning Systems Within a Proposed Schemata - M. Gams and N. Lavrac - May 1987 |
| Review of Inductive Logic Programming: Techniques and Applications by Nada Lavrac, Saso Dzeroski - Michael Pazzani - 1996 |
| 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 |
| A Review of Machine Learning at AAAI-87 - Russell Greiner et al. - 1988 |
| A Review of the Fourth International Workshop on Machine Learning - Rogers P. Hall et al. - 1987 |
| Revision of production system rule-bases - Patrick M. Murphy and Michael J. Pazzani - 1994 |
| Reward functions for accelerated learning - Maja J. Mataric - 1994 |
| Rigel: An Inductive Learning System - Roberto Gemello, Franco Mana and Lorenza Saitta - 1991 |
| Rigorous learning curve bounds from statistical mechanics - D. Haussler, M. Kearns, H. S. Seung and N. Tishby - 1994 |
| 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 |
| Robot learning from demonstration - Christopher G. Atkeson and Stefan Schaal - 1997 |
| Robot Programming by Demonstration RPD : Supporting the Induction by Human Interaction - H. Friedrich, S. Münch, R. Dillman, S. Bocionek and M. Sassin - 1996 |
| Robust learning in polynomial time: possibilities and limitations - M. Kearns and M. Li - 1987 |
| Robust learning with infinite additional information - Susanne Kaufmann and Frank Stephan - 1997 |
| Robust separations in inductive inference - M. A. Fulk - 1990 |
| Robust trainability of single neurons - Klaus-U. Höffgen, Hans-U. Simon and Kevin S. Van Horn - 1995 |
| Robust trainability of single neurons - K. Höffgen and H. Simon - 1992 |
| The role of learning in autonomous robots - R. Brooks - 1991 |
| Rule induction for semantic query optimization - Chun-Nan Hsu and Craig A. Knoblock - 1994 |
| Rule-generating abduction for recursive Prolog - K. Hirata - 1994 |