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 Face Detection by Aggregated Bayesian Network Classifiers - Thang V. Pham, Marcel Worring and Arnold W. M. Smeulders - 2001
View the document Factorial hidden Markov models - Zoubin Ghahramani and Michael I. Jordan - 1997
View the document FAM-Based Fuzzy Interence for Detecting Shot Transitions - Seok-Woo Jang, Gyo-young Kim and Hyung-Il Choi - 2001
View the document A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases - Hiroki Arimura, Atsushi Wataki, Ryoichi Fujino and Setsuo Arikawa - 1998
View the document Fast and efficient reinforcement learning with truncated temporal differences - Pawel Cichosz and Jan J. Mulawka - 1995
View the document A fast, bottom-up decision tree pruning algorithm with near-optimal generalization - Michael Kearns and Yishay Mansour - 1998
View the document Fast Distribution-Specific Learning - Dale Schuurmans and Russell Greiner - 1997
View the document Fast effective rule induction - William W. Cohen - 1995
View the document Faster Near-Optimal Reinforcement Learning: Adding Adaptiveness to the E3 Algorithm - Carlos Domingo - 1999
View the document Fast identification of geometric objects with membership queries - W. J. Bultman and W. Maass - 1991
View the document Fast Learning in Multi-Resolution Hierarchies - J. Moody - 1989
View the document Fast Learning in Networks of Locally-Tuned Processing Units - J. Moody and C. Darken - 1989
View the document Fast Learning of k-term DNF Formulas with Queries - A. Blum and S. Rudich - 1992
View the document Fast learning of k-term DNF formulas with queries - Avrim Blum and Stephen Rudich - 1995
View the document Fast Online Q(lambda) - Marco Wiering and Jürgen Schmidhuber - 1998
View the document Fast perceptual learning of motion in humans and neural networks - Lucia M. Vaina, Venkrataraman Sundareswaran and John G. Harris - 1997
View the document Fast Probabilistic Algorithms for Hamiltonian Circuits and Matchings - D. Angluin and L. G. Valiant - 1979
View the document Fat-shattering and the learnability of real-valued functions - P. L. Bartlett, P. M. Long and R. C. Williamson - 1994
View the document Fat-shattering and the learnability of real-valued functions - Peter L. Bartlett, Philip M. Long and Robert C. Williamson - 1996
View the document Feasible Direction Decomposition Algorithms for Training Support Vector Machines - Pavel Laskov - 2002
View the document Feature-Based Methods for Large Scale Dynamic Programming - John N. Tsitsiklis and Benjamin van Roy - 1996
View the document FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness - Joseph O'Sullivan, John Langford, Rich Caruana and Avrim Blum - 2000
View the document Feature Construction during Tree Learning - G. Mehlsam, H. Kaindl and W. Barth - 1995
View the document Feature Construction with Version Spaces for Biochemical Applications - Stefan Kramer and Luc De Raedt - 2001
View the document Feature Discovery by Competitive Learning - D. E. Rumelhart and D. Zipser - 1985
View the document Feature engineering and classifier selection: A case study in Venusian volcano detection - Lars Asker and Richard Maclin - 1997
View the document Feature engineering for text classification - Sam Scott and Stan Matwin - 1999
View the document Feature Extraction Using an Unsupervised Neural Network - N. Intrator - 1990
View the document Feature Generation Using General Constructor Functions - Shaul Markovitch and Dan Rosenstein - 2002
View the document Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Applicaton to Protein Fold Classification - Vadim Mottl, Sergey Dvoenko, Oleg Seredin, Casimir Kulikowski and Ilya Muchnik - 2001
View the document Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies - Louis Talavera - 2000
View the document Feature selection as a preprocessing step for hierarchical clustering - Luis Talavera - 1999
View the document Feature Selection for a Real-World Learning Task - D. Kollmar and D. H. Hellmann - 2001
View the document Feature Selection for High-Dimensional Genomic Microarray Data - Eric P. Xing, Michael I. Jordan and Richard M. Karp - 2001
View the document Feature selection for unbalanced class distribution and Naive Bayes - Dunja Mladenić and Marko Grobelnik - 1999
View the document Feature Selection Using Rough Sets Theory - Maciej Modrzejewski - 1993
View the document Feature selection via concave minimization and support vector machines - Paul S. Bradley and Olvi L. Mangasarian - 1998
View the document Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks - Brendan Davis Burns and Andrea Pohoreckyj-Danyluk - 2000
View the document Feature Subset Selection and Order Identification for Unsupervised Learning - Jennifer G. Dy and Carla E. Brodley - 2000
View the document Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control - Rémi Coulom - 2002
View the document A few results on the complexity of classes of identifiable recursive function sets - R. Klette - 1977
View the document Filter likelihoods and exhaustive learning - David H. Wolpert - 1994
View the document Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection - Sanmay Das - 2001
View the document Finding a Minimal 1-DNF Consistent with a Positive Sample is LOGSNP-Complete - F. Denis - 1999
View the document Finding a One-Variable Pattern from Incomplete Data - Hiroshi Sakamoto - 1998
View the document Finding Best Patterns Practically - Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa, Masahiro Hirao, Hiromasa Hoshino and Shunsuke Inenaga - 2001
View the document Finding Minimal Generalizations for Unions of Pattern Languages and Its Application to Inductive Inference from Positive Data - H. Arimura, T. Shinohara and S. Otsuki - 1994
View the document Finding Natural Clusters Through Entropy Minimization - R. S. Wallace - June 1989
View the document Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform - Koichi Niijima and Shigeru Takano - 2001
View the document Finding Patterns Common to a Set of Strings - D. Angluin - 1980
View the document Finding Relevant Variables in PAC Model with Membership Queries - Jun Tarui David Guijarro and Tatsuie Tsukiji - 1999
View the document Finding tree patterns consistent with positive and negative examples using queries - Hiroki Ishizaka, Hiroki Arimura and Takeshi Shinohara - 1998
View the document Finding Variational Structure in Data by Cross-Entropy Optimization - Matthew Brand - 2000
View the document Finite Automata, Behavior and Synthesis - B. A. Trakhtenbrot and Ya. M. Barzdin - 1973
View the document Finite Identification of Functions by Teams with Success Ratio frac12 and Above - Sanjay Jain, Arun Sharma and Mahendran Velauthapillai - 1995
View the document Finite identification of general recursive functions by probabilistic strategies - R. V. Freivalds - 1979
View the document Finite learning by a team - S. Jain and A. Sharma - 1990
View the document FINite Learning Capabilities and Their Limits - Robert Daley and Bala Kalyanasundaram - 1997
View the document Finiteness results for sigmoid - A. Macintyre and E. D. Sontag - 1993
View the document Finite-time Analysis of the Multiarmed Bandit Problem - Peter Auer, Nicolò Cesa-Bianchi and Paul Fischer - 2002
View the document Finite-time regret bounds for the multiarmed bandit problem - Nicolò Cesa-Bianchi and Paul Fischer - 1998
View the document First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem - Terence C. Fogarty - 1992
View the document First Order Regression - Aram Karaliccaron and Ivan Bratko - 1997
View the document First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps - D. Malerba, F. Esposito, A. Lanza and F. A. Lisi - 2001
View the document First thoughts on grammatical inference - J. A. Feldman - 1967
View the document Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem - Marcus Gallagher - 2001
View the document Fixed Points of Approximate Value Iteration and Temporal-Difference Learning - Daniela Pucci de Farias and Benjamin Van Roy - 2000
View the document Flattening and Implication - Kouichi Hirata - 1999
View the document Flattening and Saturation: Two Representation Changes for Generalization - Céline Rouveirol - 1994
View the document A Flexible Modeling of Global Plasma Profile Deduced from Wave Data - Yoshitaka Goto, Yoshiya Kasahara and Toru Sato - 2001
View the document FOIL: A Midterm Report - J. Ross Quinlan and R. Mike Cameron-Jones - 1993
View the document FONN: Combining first order logic with connectionist learning - Marco Botta, Attilo Giordana and Roberto Piola - 1997
View the document 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
View the document Foreword - Ming Li - 2001
View the document Foreword - T. Zeugmann - 1997
View the document Foreword - Rolf Wiehagen and Thomas Zeugmann - 2001
View the document Forgetting Exceptions is Harmful in Language Learning - Walter Daelemans, Antal van den Bosch and Jakub Zavrel. - 1999
View the document A Formalism for Relevance and Its Application in Feature Subset Selection - David A. Bell and Hui Wang - 2000
View the document Formal Learning Theory - D. Osherson and S. Weinstein - 1983
View the document A Formal Model of Hierarchical Concept-Learning - R. L. Rivest and R. Sloan - 1994
View the document Formal Models of Language Learning - S. Pinker - 1979
View the document Formal Principles of Language Acquisition - Kenneth Wexler and Peter W. Culicover - 1980
View the document A formal study of learning via queries - O. Watanabe - 1990
View the document A Formal Theory of Inductive Causation - J. Pearl and T. S. Verma - October 1990
View the document A Formal Theory of Inductive Inference: Part 1 - R. J. Solomonoff - 1964
View the document A Formal Theory of Inductive Inference: Part 2 - R. J. Solomonoff - 1964
View the document A form of analogy as an abductive inference - M. Haraguchi - 1992
View the document Forward models: Supervised learning with a distal teacher - M. I. Jordan and D. E. Rumelhart - 1992
View the document Foundations of Designing Computational Knowledge Discovery Processes - Yoshinori Tamada, Hideo Bannai, Osamu Maruyama and Satoru Miyano - 2001
View the document Four Types of Learning Curves - S. Amari, N. Fujita and S. Shinomoto - 1992
View the document Four types of noise in data for PAC Learning - R. H. Sloan - 1995
View the document A Framework for Average Case Analysis of Conjunctive Learning Algorithms - Michael J. Pazzani and Wendy Sarrett - 1992
View the document A Framework for Empirical Discovery - P. Langley and B. Nordhausen - 1986
View the document A framework for incremental learning of logic programs - M. R. K. Krishna Rao - 1997
View the document A Framework for Learning Rules from Multiple Instance Data - Yann Chevaleyre and Jean-Daniel Zucker - 2001
View the document A framework for structural risk minimization - John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson and Martin Anthony - 1996
View the document Free to choose: investigating the sample complexity of active learning of real valued functions - Partha Niyogi - 1995
View the document Frequencies vs biases: machine learning problems in natural language processing - abstract - Fernando C. N. Pereira - 1994
View the document Frequencies vs. biases: machine learning problems in natural language processing - abstract - F. C. N. Pereira - 1994
View the document Friend-or-Foe Q-learning in General-Sum Games - Michael L. Littman - 2001
View the document From Computational Learning Theory to Discovery Science - Osamu Watanabe - 1999
View the document From inductive inference to algorithmic learning theory - Rolf Wiehagen - 1993
View the document From noise-free to noise-tolerant and from on-line to batch learning - Norbert Klasner and Hans Ulrich Simon - 1995
View the document From on-line to batch learning - N. Littlestone - 1989
View the document From Specifications to Programs: Induction in the Service of Synthesis - Nachum Dershowitz - 1994
View the document Functionality in Neural Nets (at AAAI) - L. Valiant - 1988
View the document Functionality in neural networks - L. G. Valiant - 1988
View the document Functional models for regression tree leaves - Luís Torgo - 1997
View the document Function learning from interpolation - Martin Anthony and Peter Bartlett - 1995
View the document Functions computable in the Limit by Probabilistic Machines - R. V. Freivalds - 1975
View the document The functions of finite support: a canonical learning problem - Rusins Freivalds, Efim Kinber and Carl H. Smith - 1999
View the document Funtional Inductive Logic Programming with Queries to the User - Francesco Bergadano and Daniele Gunetti - 1993
View the document A Further Comparison of Splitting Rules for Decision-Tree Induction - Wray Buntine and Tim Niblett - 1992
View the document Further Explanation of the Effectiveness of Voting Methods: The Game Between Margins and Weights - Vladimir Koltchinskii, Dmitriy Panchenko and Fernando Lozano - 2001
View the document A further note on inductive generalization - G. D. Plotkin - 1971
View the document Further results on the margin distribution - John Shawe-Taylor and Nello Cristianini - 1999
View the document Fuzzy Analogy Based Reasoning and Classification of Fuzzy Analogies - Toshiharu Iwatani, Shun'ichi Tano, Atsushi Inoue and Wataru Okamoto - 1994