| **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 |