COLT A*

57 papers

YearTitle / Authors
1995A Comparison of New and Old Algorithms for a Mixture Estimation Problem.
David P. Helmbold, Yoram Singer, Robert E. Schapire, Manfred K. Warmuth
1995A Game of Prediction with Expert Advice.
V. G. Vovk
1995A Note on Learning Multivariate Polynomials Under the Uniform Distribution (Extended Abstract).
Nader H. Bshouty
1995A Note on VC-Dimension and Measures of Sets of Reals.
Shai Ben-David, Leonid Gurvits
1995An Experimental and Theoretical Comparison of Model Selection Methods.
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron
1995Being Taught can be Faster than Asking Questions.
Ronald L. Rivest, Yiqun Lisa Yin
1995Concept Learning with Geometric Hypotheses.
David P. Dobkin, Dimitrios Gunopulos
1995Corrigendum for "Learnability of Description Logics".
William W. Cohen, Haym Hirsh
1995Criteria for Specifying Machine Complexity in Learning.
Changfeng Wang, Santosh S. Venkatesh
1995DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching.
H. David Mathias
1995Exactly Learning Automata with Small Cover Time.
Dana Ron, Ronitt Rubinfeld
1995From Noise-Free to Noise-Tolerant and from On-line to Batch Learning.
Norbert Klasner, Hans Ulrich Simon
1995General Bounds on the Mutual Information Between a Parameter and
David Haussler, Manfred Opper
1995Generalized Teaching Dimensions and the Query Complexity of Learning.
Tibor Hegedüs
1995How to Use Expert Advice in the Case when Actual Values of Estimated Events Remain Unknown.
Olga Mitina, Nikolai K. Vereshchagin
1995Inductive Inference of Functions on the Rationals.
Douglas A. Cenzer, William R. Moser
1995Language Learning from Texts: Mind Changes, Limited Memory and Monotonicity (Extended Abstract).
Efim B. Kinber, Frank Stephan
1995Learning DNF over the Uniform Distribution using a Quantum Example Oracle.
Nader H. Bshouty, Jeffrey C. Jackson
1995Learning Internal Representations.
Jonathan Baxter
1995Learning Using Group Representations (Extended Abstract).
Dan Boneh
1995Learning by a Population of Perceptrons.
Kukjin Kang, Jong-Hoon Oh
1995Learning from a Mixture of Labeled and Unlabeled Examples with Parametric Side Information.
Joel Ratsaby, Santosh S. Venkatesh
1995Learning to Model Sequences Generated by Switching Distributions.
Yoav Freund, Dana Ron
1995Learning to Reason with a Restricted View.
Roni Khardon, Dan Roth
1995Learning via Queries and Oracles.
Frank Stephan
1995Learning with Unreliable Boundary Queries.
Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
1995Markov Decision Processes in Large State Spaces.
Lawrence K. Saul, Satinder P. Singh
1995More Theorems about Scale-sensitive Dimensions and Learning.
Peter L. Bartlett, Philip M. Long
1995More or Less Efficient Agnostic Learning of Convex Polygons.
Paul Fischer
1995Noise-Tolerant Parallel Learning of Geometric Concepts.
Nader H. Bshouty, Sally A. Goldman, H. David Mathias
1995On Efficient Agnostic Learning of Linear Combinations of Basis Functions.
Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1995On Genetic Algorithms.
Eric B. Baum, Dan Boneh, Charles Garrett
1995On Learning Bounded-Width Branching Programs.
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld
1995On Learning Decision Trees with Large Output Domains (Extended Abstract).
Nader H. Bshouty, Christino Tamon, David K. Wilson
1995On Learning from Noisy and Incomplete Examples.
Scott E. Decatur, Rosario Gennaro
1995On Self-Directed Learning.
Shai Ben-David, Nadav Eiron, Eyal Kushilevitz
1995On the Inductive Inference of Real Valued Functions.
Kalvis Apsitis, Rusins Freivalds, Carl H. Smith
1995On the Learnability and Usage of Acyclic Probabilistic Finite Automata.
Dana Ron, Yoram Singer, Naftali Tishby
1995On the Learnability of
Nader H. Bshouty, Zhixiang Chen, Scott E. Decatur, Steven Homer
1995On the Optimal Capacity of Binary Neural Networks: Rigorous Combinatorial Approaches.
Jeong Han Kim, James R. Roche
1995On-line Learning of Binary and
Atsuyoshi Nakamura, Naoki Abe
1995Online Learning via Congregational Gradient Descent.
Kim L. Blackmore, Robert C. Williamson, Iven M. Y. Mareels, William A. Sethares
1995Piecemeal Graph Exploration by a Mobile Robot (Extended Abstract).
Baruch Awerbuch, Margrit Betke, Ronald L. Rivest, Mona Singh
1995Predicting Nearly as Well as the Best Pruning of a Decision Tree.
David P. Helmbold, Robert E. Schapire
1995Predictive Hebbian Learning.
Terrence J. Sejnowski, Peter Dayan, P. Read Montague
1995Proceedings of the Eigth Annual Conference on Computational Learning Theory, COLT 1995, Santa Cruz, California, USA, July 5-8, 1995
Wolfgang Maass
1995Proper Learning Algorithm for Functions of
Yoshifumi Sakai, Eiji Takimoto, Akira Maruoka
1995Randomized Approximate Aggregating Strategies and Their Applications to Prediction and Discrimination.
Kenji Yamanishi
1995Rationality.
Leslie G. Valiant
1995Reducing the Number of Queries in Self-Directed Learning.
Yiqun Lisa Yin
1995Reductions for Learning via Queries.
William I. Gasarch, Geoffrey R. Hird
1995Regression NSS: An Alternative to Cross Validation.
Michael P. Perrone, Brian S. Blais
1995Sample Sizes for Sigmoidal Neural Networks.
John Shawe-Taylor
1995Sequential PAC Learning.
Dale Schuurmans, Russell Greiner
1995Simple Learning Algorithms Using Divide and Conquer.
Nader H. Bshouty
1995Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance.
Javed A. Aslam, Scott E. Decatur
1995The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant.
Jyrki Kivinen, Manfred K. Warmuth