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1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
2002open this document and view contents The Consistency of Greedy Algorithms for Classification - Shie Mannor, Ron Meir and Tong Zhang
open this document and view contents Metric-Based Methods for Adaptive Model Selection and Regularization - Dale Schuurmans and Finnegan Southey
open this document and view contents Maximizing Agreements and CoAgnostic Learning - Nader H. Bshouty and Lynn Burroughs
open this document and view contents Training Invariant Support Vector Machines - Dennis Decoste and Bernhard Schölkopf
open this document and view contents Variable Resolution Discretization in Optimal Control - Rémi Munos and Andrew Moore
open this document and view contents How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution - Dietrich Braess, Jürgen Forster, Tomas Sauer and Hans U. Simon
open this document and view contents Approximate algorithms for neural-Bayesian approaches - Tom Heskes, Bart Bakker and Bert Kappen
open this document and view contents Spiking neurons and the induction of finite state machines - Thomas Natschläger and Wolfgang Maass
open this document and view contents On a Connection between Kernel PCA and Metric Multidimensional Scaling - Christopher K. I. Williams
open this document and view contents Hardness results for neural network approximation problems - Peter L. Bartlett and Shai Ben-David
open this document and view contents Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction - Jose M. Peña, ose A. Lozano and Pedro Larrañaga
open this document and view contents Theoretical and Experimental Evaluation of the Subspace Information Criterion - Masashi Sugiyama and Hidemitsu Ogawa
open this document and view contents Feature Generation Using General Constructor Functions - Shaul Markovitch and Dan Rosenstein
open this document and view contents Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control - Rémi Coulom
open this document and view contents Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates - Tom Bylander
open this document and view contents Unsupervised learning in neural computation - Erkki Oja
open this document and view contents A Second-Order Perceptron Algorithm - Nicolò Cesa-Bianchi, Alex Conconi and Claudio Gentile
open this document and view contents On the Smallest Possible Dimension and the Largest Possible Margin of Linear Arrangements Representing Given Concept Classes Uniform Distribution - Jürgen Forster and Hans Ulrich Simon
open this document and view contents Near-Optimal Reinforcement Learning in Polynomial Time - Michael Kearns and Satinder Singh
open this document and view contents PAC Analogues of Perceptron and Winnow Via Boosting the Margin - R. Servedio
open this document and view contents On the Computational Power of Boolean Decision Lists - Matthias Krause
open this document and view contents Entropy, Combinatorial Dimensions and Random Averages - Shahar Mendelson and Roman Vershynin
open this document and view contents Compactness and Learning of Classes of Unions of Erasing Regular Pattern Languages - Jin Uemura and Masako Sato
open this document and view contents Consistency Queries in Information Extraction - Gunter Grieser, Klaus P. Jantke and Steffen Lange
open this document and view contents Reflective Inductive Inference of Recursive Functions - Gunter Grieser
open this document and view contents Bounds for the Minimum Disagreement Problem with Applications to Learning Theory - Nader H. Bshouty and Lynn Burroughs
open this document and view contents Learning the Internet - Christos Papadimitriou
open this document and view contents On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum - John Shawe-Taylor, Chris Williams, Nello Cristianini and Jaz Kandola
open this document and view contents A Probabilistic Framework for SVM Regression and Error Bar Estimation - J. B. Gao, S. R. Gunn, C. J. Harris and M. Brown
open this document and view contents Classes with Easily Learnable Subclasses - Sanjay Jain, Wolfram Menzel and Frank Stephan
open this document and view contents Editorial: Kernel Methods: Current Research and Future Directions - Nello Cristianini, Colin Campbell and Chris Burges
open this document and view contents Editors' Introduction - Nicolo Cesa-Bianchi, Masayuki Numao and Rüdiger Reischuk
open this document and view contents On the Dual Formulation of Regularized Linear Systems with Convex Risk - Tong Zhang
open this document and view contents Tracking Linear-Threshold Concepts with Winnow - Chris Mesterharm
open this document and view contents Query by committee, linear separation and random walks - Shai Fine, Ran Gilad-Bachrach and Eli Shamir
open this document and view contents Model Selection for Small Sample Regression - Olivier Chapelle, Vladimir Vapnik and Yoshua Bengio
open this document and view contents The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions - Jürgen Schmidhuber
open this document and view contents Learning Tree Languages from Text - Henning Fernau
open this document and view contents On the Absence of Predictive Complexity for Some Games - Yuri Kalnishkan and Michael V. Vyugin
open this document and view contents Asymptotic Optimality of Transductive Confidence Machine - Vladimir Vovk
open this document and view contents Performance Guarantees for Hierarchical Clustering - Sanjoy Dasgupta
open this document and view contents A General Dimension for Approximately Learning Boolean Functions - Johannes Köbler and Wolfgang Lindner
open this document and view contents On Learning Monotone Boolean Functions under the Uniform Distribution - Kazuyuki Amano and Akira Maruoka
open this document and view contents Merging Uniform Inductive Learners - Sandra Zilles
open this document and view contents Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts - Amy McGovern, Eliot Moss and Andrew G. Barto
open this document and view contents Localized Rademacher Complexities - Peter L. Bartlett, Olivier Bousquet and Shahar Mendelson
open this document and view contents Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities - Peter Sollich
open this document and view contents Lower bounds for the rate of convergence in nonparametric pattern recognition - Andràs Antos
open this document and view contents Neural circuits for pattern recognition with small total wire length - Robert A. Legenstein and Wolfgang Maass
open this document and view contents The Consistency Dimension and Distribution-Dependendent Learning from Queries - José L. Balcázar, Jorge Castro, David Guijarro and Hans-Ulrich Simon
open this document and view contents 15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 2002, Proceedings - Jyrki Kivinen and Robert H. Sloan
open this document and view contents Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks - Hui Tong and Timothy X. Brown
open this document and view contents Ordered Term Tree Languages which Are Polynomial Time Inductively Inferable from Positive Data - Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida and Tetsuhiro Miyahara
open this document and view contents Linear Programming Boosting via Column Generation - Ayhan Demiriz, Kristin P. Bennett and John Shawe-Taylor
open this document and view contents Mathematics Based on Learning - Susumu Hayashi
open this document and view contents Predictive Complexity and Information - Michael V. Vyugin and Vladimir V. V'yugin
open this document and view contents Feasible Direction Decomposition Algorithms for Training Support Vector Machines - Pavel Laskov
open this document and view contents RBF Neural Networks and Descartes' Rule of Signs - Michael Schmitt
open this document and view contents Constraint Classification: A New Approach to Multiclass Classification - Sariel Har-Peled, Dan Roth and Dav Zimak
open this document and view contents Avoiding coding tricks by hyperrobust learning - Matthias Ott and Frank Stephan
open this document and view contents On the Power of Incremental Learning - Steffen Lange and Gunter Grieser
open this document and view contents Technical Update: Least-Squares Temporal Difference Learning - Justin A. Boyan
open this document and view contents On the Learnability and Design of Output Codes for Multiclass Problems - Koby Crammer and Yoram Singer
open this document and view contents Prediction algorithms and confidence measures based on algorithmic randomness theory - Alex Gammerman and Volodya Vovk
open this document and view contents Predicting Nearly as Well as the Best Pruning Graph - Eiji Takimoto and Manfred K. Warmuth
open this document and view contents An Analytic Center Machine - Theodore B. Trafalis and Alexander M. Malyscheff
open this document and view contents On the Existence of Linear Weak Learners and Applications to Boosting - Shie Mannor and Ron Meir
open this document and view contents Boosting Methods for Regression - Nigel Duffy and David Helmbold
open this document and view contents A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning - Johannes Fürnkranz
open this document and view contents Mixability and the Existence of Weak Complexities - Yuri Kalnishkan and Michael V. Vyugin
open this document and view contents Path Kernels and Multiplicative Updates - Eiji Takimoto and Manfred K. Warmuth
open this document and view contents Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? - Edda Leopold and Jörg Kindermann
open this document and view contents On the Proper Learning of Axis Parallel Concepts - Nader H. Bshouty and Lynn Burroughs
open this document and view contents Logistic Regression, AdaBoost and Bregman Distances - Michael Collins, Robert E. Schapire and Yoram Singer
open this document and view contents Some Local Measures of Complexity of Convex Hulls and Generalization Bounds - Olivier Bousquet, Vladimir Koltchinskii and Dmitriy Panchenko
open this document and view contents Continuous-Action Q-Learning - José del R. Millán, Daniele Posenato and Eric Dedieu
open this document and view contents On the Learnability of Vector Spaces - Valentina S. Harizanov and Frank Stephan
open this document and view contents On the rate of convergence of error estimates for the partitioning classification rule - Márta Pintér
open this document and view contents Guest Editor's Introduction - Jyrki Kivinen
open this document and view contents Choosing Multiple Parameters for Support Vector Machines - Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet and Sayan Mukherjee
open this document and view contents Minimised Residue Hypotheses in Relevant Logic - Bertram Fronhöfer and Akihiro Yamamoto
open this document and view contents Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers - Ofer Melnik
open this document and view contents Efficient SVM Regression Training with SMO - Gary William Flake and Steve Lawrence
open this document and view contents Kernel-Based Reinforcement Learning - Dirk Ormoneit and Saunak Sen
open this document and view contents Data Mining with Graphical Models - Rudolf Kruse and Christian Borgelt
open this document and view contents Structure in the Space of Value Functions - David Foster and Peter Dayan
open this document and view contents Category, Measure, Inductive Inference: A Triality Theorem and Its Applications - Rusins Freivalds and Carl H. Smith
open this document and view contents Inferring Deterministic Linear Languages - Colin de la Higuera and Jose Oncina
open this document and view contents Kernel Matching Pursuit - Pascal Vincent and Yoshua Bengio
open this document and view contents Classification with Intersecting Rules - Tony Lindgren and Henrik Boström
open this document and view contents A Simple Decomposition Method for Support Vector Machines - Chih-Wei Hsu and Chih-Jen Lin
open this document and view contents Introduction - Satinder Singh
open this document and view contents The Complexity of Learning Concept Classes with Polynomial General Dimension - Johannes Köbler and Wolfgang Lindner
open this document and view contents Structural Modelling with Sparse Kernels - S. R. Gunn and J. S. Kandola
open this document and view contents Learning, Logic, and Topology in a Common Framework - Eric Martin, Arun Sharma and Frank Stephan
open this document and view contents Control structures in hypothesis spaces: the influence on learning - John Case, Sanjay Jain and Mandayam Suraj
open this document and view contents Gene Selection for Cancer Classification using Support Vector Machines - Isabelle Guyon, Jason Weston, Stephen Barnhill and Vladimir Vapnik
open this document and view contents Bayesian Clustering by Dynamics - Marco Ramoni, Paola Sebastiani and Paul Cohen
open this document and view contents On Learning Embedded Midbit Functions - Rocco A. Servedio
open this document and view contents Automata techniques for query inference machines - William Gasarch and Geoffrey R. Hird
open this document and view contents Finite-time Analysis of the Multiarmed Bandit Problem - Peter Auer, Nicolò Cesa-Bianchi and Paul Fischer
open this document and view contents Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures - Marcus Hutter
open this document and view contents The Lagging Anchor Algorithm: Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information - Fredrik A. Dahl
open this document and view contents A Consistent Strategy for Boosting Algorithms - Gábor Lugosi and Nicolas Vayatis
open this document and view contents A Simple Method for Generating Additive Clustering Models with Limited Complexity - Michael D. Lee
open this document and view contents An Efficient PAC Algorithm for Reconstructing a Mixture of Lines - Sanjoy Dasgupta, Elan Pavlov and Yoram Singer
open this document and view contents In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project - Gerhard Widmer
open this document and view contents Maximizing the Margin with Boosting - Gunnar Rätsch and Manfred K. Warmuth
open this document and view contents Agnostic Learning Nonconvex Function Classes - Shahar Mendelson and Robert C. Williamson
open this document and view contents Editorial - Doug Fisher
open this document and view contents Prediction and Dimension - Lance Fortnow and Jack H. Lutz
open this document and view contents New Lower Bounds for Statistical Query Learning - Ke Yang
open this document and view contents A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles - Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby and Golan Yona
open this document and view contents PAC Learning with Nasty Noise - Nader H. Bshouty, Nadav Eiron and Eyal Kushilevitz
open this document and view contents Risk-Sensitive Reinforcement Learning - Oliver Mihatsch and Ralph Neuneier
open this document and view contents Direct and indirect algorithms for on-line learning of disjunctions - D. P. Helmbold, S. Panizza and M. K. Warmuth
open this document and view contents Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data - Yusuke Suzuki, Ryuta Akanuma, Takayoshi Shoudai, Tetsuhiro Miyahara and Tomoyuki Uchida
open this document and view contents Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data - Igor V. Cadez, Padhraic Smyth, Geoff J. McLachlan and Christine E. McLaren
open this document and view contents Mind change complexity of learning logic programs - Sanjay Jain and Arun Sharma
open this document and view contents Large Margin Classification for Moving Targets - Jyrki Kivinen, Alex J. Smola and Robert C. Williamson
open this document and view contents Support Vector Machines for Classification in Nonstandard Situations - Yi Lin, Yoonkyung Lee and Grace Wahba
open this document and view contents Learnability and Definability in Trees and Similar Structures - Martin Grohe and Gyorgy Turán
open this document and view contents Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces - Gunnar Rätsch, Ayhan Demiriz and Kristin P. Bennett
open this document and view contents A Negative Result on Inductive Inference of Extended Pattern Languages - Daniel Reidenbach
open this document and view contents Learning Structure from Sequences, with Applications in a Digital Library - Ian H. Witten
open this document and view contents Statistical Properties and Adaptive Tuning of Support Vector Machines - Yi Lin, Grace Wahba, Hao Zhang and Yoonkyung Lee
open this document and view contents PAC Bounds for Multi-armed Bandit and Markov Decision Processes - Eyal Even-Dar, Shie Mannor and Yishay Mansour
open this document and view contents Large Scale Kernel Regression via Linear Programming - .L. Mangasarian and David R. Musicant
open this document and view contents Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination - Yoshua Bengio and Dale Schuurmans
open this document and view contents Model Selection and Error Estimation - Peter L. Bartlett, Stéphane Boucheron and Gáabor Lugosi
open this document and view contents A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes - Michael Kearns, Yishay Mansour and Andrew Y. Ng
open this document and view contents The Relaxed Online Maximum Margin Algorithm - Yi Li and Philip M. Long
open this document and view contents Hierarchical Learning in Polynomial Support Vector Machines - Sebastian Risau-Gusman and Mirta B. Gordon
open this document and view contents On Learning Unions of Pattern Languages and Tree Patterns in the Mistake Bound Model - Sally A. Goldman and Stephen S. Kwek
open this document and view contents Bayesian Treed Models - Hugh A. Chipman, Edward I. George and Robert E. McCulloch
open this document and view contents Exploring Learnability between Exact and PAC - Nader H. Bshouty, Jeffrey C. Jackson and Christino Tamon
open this document and view contents Learning Classes of Approximations to Non-Recursive Functions - Frank Stephan and Thomas Zeugmann
open this document and view contents A geometric approach to leveraging weak learners - Nigel Duffy and David Helmbold
open this document and view contents Geometric Parameters of Kernel Machines - Shahar Mendelson
open this document and view contents Convergence of a Generalized SMO Algorithm for SVM Classifier Design - S. S. Keerthi and E. G. Gilbert
open this document and view contents Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning - Dmitry Gavinsky
open this document and view contents On Average Versus Discounted Reward Temporal-Difference Learning - John N. Tsitsiklis and Benjamin Van Roy
open this document and view contents Preface - Osamu Watanabe and Arun Sharma
open this document and view contents How Many Missing Answers Can Be Tolerated by Query Learners? - Hans Ulrich Simon
open this document and view contents Theory Revision with Queries: DNF Formulas - Judy Goldsmith, Robert H. Sloan and György Turán
Novemberopen this document and view contents Algorithmic Learning Theory, 13th International Conference, ALT 2002, Lübeck, Germany, November 2002, Proceedings - Nicolò Cesa-Bianchi and Masayuki Numao and Rüdiger Reischuk
Circ_textmontha _open this document and view contents Quodlibeta Septem (in translation) - William of Occam