 | Fast and efficient reinforcement learning with truncated temporal differences - Pawel Cichosz and Jan J. Mulawka - 1995 |
 | Fast Distribution-Specific Learning - Dale Schuurmans and Russell Greiner - 1997 |
 | Fast effective rule induction - William W. Cohen - 1995 |
 | Fast identification of geometric objects with membership queries - W. J. Bultman and W. Maass - 1991 |
 | Fast Learning in Multi-Resolution Hierarchies - J. Moody - 1989 |
 | Fast Learning in Networks of Locally-Tuned Processing Units - J. Moody and C. Darken - 1989 |
 | Fast learning of k-term DNF formulas with queries - Avrim Blum and Stephen Rudich - 1995 |
 | Fast Learning of k-term DNF Formulas with Queries - A. Blum and S. Rudich - 1992 |
 | Fast Probabilistic Algorithms for Hamiltonian Circuits and Matchings - D. Angluin and L. G. Valiant - 1979 |
 | Fat-shattering and the learnability of real-valued functions - P. L. Bartlett, P. M. Long and R. C. Williamson - 1994 |
 | Feature Discovery by Competitive Learning - D. E. Rumelhart and D. Zipser - 1985 |
 | Feature engineering and classifier selection: A case study in Venusian volcano detection - Lars Asker and Richard Maclin - 1997 |
 | Feature Extraction Using an Unsupervised Neural Network - N. Intrator - 1990 |
 | Feature-Based Methods for Large Scale Dynamic Programming - John N. Tsitsiklis and Benjamin van Roy - 1996 |
 | A few results on the complexity of classes of identifiable recursive function sets - R. Klette - 1977 |
 | Finding Natural Clusters Through Entropy Minimization - R. S. Wallace - June 1989 |
 | Finding Patterns Common to a Set of Strings - D. Angluin - 1980 |
 | Finding tree patterns consistent with positive and negative examples using queries - H. Ishizaka, H. Arimura and T. Shinohara - 1994 |
 | Finite Identification of Functions by Teams with Success Ratio 12 and Above - Sanjay Jain, Arun Sharma and Mahendran Velauthapillai - 1995 |
 | Finite identification of general recursive functions by probabilistic strategies - R. V. Freivalds - 1979 |
 | Finite learning by a team - S. Jain and A. Sharma - 1990 |
 | FINite Learning Capabilities and Their Limits - Robert Daley and Bala Kalyanasundaram - 1997 |
 | Finiteness results for sigmoid - A. Macintyre and E. D. Sontag - 1993 |
 | First Nearest Neighbor Classification on Frey and Slate’s Letter Recognition Problem - Terence C. Fogarty - 1992 |
 | First Order Regression - Aram Karaliccaron and Ivan Bratko - 1997 |
 | First thoughts on grammatical inference - J. A. Feldman - 1967 |
 | Flattening and Saturation: Two Representation Changes for Generalization - Céline Rouveirol - 1994 |
 | FONN: Combining first order logic with connectionist learning - Marco Botta, Attilo Giordana and Roberto Piola - 1997 |
 | For every generalization action is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance - R. Bharat Rao, Diana Gordon and William Spears - 1995 |
 | A form of analogy as an abductive inference - M. Haraguchi - 1992 |
 | Formal Learning theory - D. Osherson and S. Weinstein - 1983 |
 | Formal Models of Language Learning - S. Pinker - 1979 |
 | Formal Principles of Language Acquisition - K. Wexler and P. Culicover - 1980 |
 | A formal study of learning via queries - O. Watanabe - 1990 |
 | A Formal Theory of Inductive Causation - J. Pearl and T. S. Verma - October 1990 |
 | A Formal Theory of Inductive Inference: Part 1 - R. J. Solomonoff - 1964 |
 | A Formal Theory of Inductive Inference: Part 2 - R. J. Solomonoff - 1964 |
 | Forward models: Supervised learning with a distal teacher - M. Joardan and D. Rumelhart - July 1990 |
 | Four Types of Learning Curves - S. Amari, N. Fujita and S. Shinomoto - 1992 |
 | Four types of noise in data for PAC Learning - R. H. Sloan - 1995 |
 | A Framework for Average Case Analysis of Conjunctive Learning Algorithms - Michael J. Pazzani and Wendy Sarrett - 1992 |
 | A Framework for Empirical Discovery - P. Langley and B. Nordhausen - 1986 |
 | A framework for structural risk minimization - John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson and Martin Anthony - 1996 |
 | Free to choose: investigating the sample complexity of active learning of real valued functions - Partha Niyogi - 1995 |
 | Frequencies vs biases: machine learning problems in natural language processing - abstract - Fernando C. N. Pereira - 1994 |
 | Frequencies vs. biases: machine learning problems in natural language processing - abstract - F. C. N. Pereira - 1994 |
 | From inductive inference to algorithmic learning theory - R. Wiehagen - 1992 |
 | From noise-free to noise-tolerant and from on-line to batch learning - Norbert Klasner and Hans Ulrich Simon - 1995 |
 | From on-line to batch learning - N. Littlestone - 1989 |
 | From specifications to programs: induction in the service of synthesis - N. Dershowitz - 1994 |
 | Function learning from interpolation - Martin Anthony and Peter Bartlett - 1995 |
 | Functional models for regression tree leaves - Luís Torgo - 1997 |
 | Functionality in Neural Nets at AAAI - L. Valiant - 1988 |
 | Functionality in neural networks - L. G. Valiant - 1988 |
 | Functions computable in the Limit by Probabilistic Machines - R. Freivalds - 1975 |
 | A Further Comparison of Splitting Rules for Decision-Tree Induction - Wray Buntine and Tim Niblett - 1992 |
 | A further note on inductive generalization - G. D. Plotkin - 1971 |
 | Fuzzy analogy based reasoning and classification of fuzzy analogies - T. Iwatani, S. Tano, A. Inoue and W. Okamoto - 1994 |