COLT A*

56 papers

YearTitle / Authors
1993A Model of Sequence Extrapolation.
Philip D. Laird, Ronald Saul, Peter Dunning
1993Acceleration of Learning in Binary Choice Problems.
Yoshiyuki Kabashima, Shigeru Shinomoto
1993Amplification of Weak Learning under the Uniform Distribution.
Dan Boneh, Richard J. Lipton
1993Asking Questions to Minimize Errors.
Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar
1993Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks.
Mostefa Golea, Mario Marchand
1993Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers.
Paul Goldberg, Mark Jerrum
1993Capabilities of Probabilistic Learners with Bounded Mind Changes.
Robert P. Daley, Bala Kalyanasundaram
1993Capabilities of fallible FINite Learning.
Robert P. Daley, Bala Kalyanasundaram, Mahendran Velauthapillai
1993Choosing a Reliable Hypothesis.
William S. Evans, Sridhar Rajagopalan, Umesh V. Vazirani
1993Conservativeness and Monotonicity for Learning Algorithms.
Eiji Takimoto, Akira Maruoka
1993Efficient Identification of Regular Expressions from Representative Examples.
Alvis Brazma
1993General Bounds on the Number of Examples Needed for Learning Probabilistic Concepts.
Hans Ulrich Simon
1993Genetic Algorithms and Machine Learning.
John J. Grefenstette
1993Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights.
Geoffrey E. Hinton, Drew van Camp
1993Language Learning in Dependence on the Space of Hypotheses.
Steffen Lange, Thomas Zeugmann
1993Learning
Thomas R. Hancock
1993Learning Binary Relations Using Weighted Majority Voting.
Sally A. Goldman, Manfred K. Warmuth
1993Learning Fallible Finite State Automata.
Dana Ron, Ronitt Rubinfeld
1993Learning Sparse Multivariate Polynomials over a Field with Queries and Counterexamples.
Robert E. Schapire, Linda Sellie
1993Learning Two-Tape Automata from Queries and Counterexamples.
Takashi Yokomori
1993Learning Unions of Two Rectangles in the Plane with Equivalence Queries.
Zhixiang Chen
1993Learning and Robust Learning of Product Distributions.
Klaus-Uwe Höffgen
1993Learning from a Population of Hypotheses.
Michael J. Kearns, H. Sebastian Seung
1993Learning with Restricted Focus of Attention.
Shai Ben-David, Eli Dichterman
1993Learning µ-branching Programs with Queries.
Vijay Raghavan, Dawn Wilkins
1993Linear Time Deterministic Learning of
Ulf Berggren
1993Localization vs. Identification of Semi-Algebraic Sets.
Shai Ben-David, Michael Lindenbaum
1993Lower Bounds for PAC Learning with Queries.
György Turán
1993Lower Bounds on the Vapnik-Chervonenkis Dimension of Multi-Layer Threshold Networks.
Peter L. Bartlett
1993Occam's Razor for Functions.
B. K. Natarajan
1993On Learning Embedded Symmetric Concepts.
Avrim Blum, Prasad Chalasani, Jeffrey C. Jackson
1993On Learning Multiple Concepts in Parallel.
Efim B. Kinber, Carl H. Smith, Mahendran Velauthapillai, Rolf Wiehagen
1993On Learning Visual Concepts and DNF Formulae.
Eyal Kushilevitz, Dan Roth
1993On Learning in the Limit and Non-Uniform (epsilon, delta)-Learning.
Shai Ben-David, Michal Jacovi
1993On Polynomial-Time Probably almost Discriminative Learnability.
Kenji Yamanishi
1993On Probably Correct Classification of Concepts.
Sanjeev R. Kulkarni, Ofer Zeitouni
1993On the Average Tractability of Binary Integer Programming and the Curious Transition to Perfect Generalization in Learning Majority Functions.
Shao C. Fang, Santosh S. Venkatesh
1993On the Complexity of Function Learning.
Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger
1993On the Impact of Forgetting on Learning Machines.
Rusins Freivalds, Efim B. Kinber, Carl H. Smith
1993On the Power of Polynomial Discriminators and Radial Basis Function Networks.
Martin Anthony, Sean B. Holden
1993On the Power of Sigmoid Neural Networks.
Joe Kilian, Hava T. Siegelmann
1993On the Query Complexity of Learning.
Sampath Kannan
1993On the Structure of Degrees of Inferability.
Martin Kummer, Frank Stephan
1993On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes.
S. E. Posner, Sanjeev R. Kulkarni
1993On-Line Learning of Rectangles in Noisy Environments.
Peter Auer
1993On-Line Learning with Linear Loss Constraints.
Nick Littlestone, Philip M. Long
1993Parameterized Learning Complexity.
Rodney G. Downey, Patricia A. Evans, Michael R. Fellows
1993Piecemeal Learning of an Unknown Environment.
Margrit Betke, Ronald L. Rivest, Mona Singh
1993Polynomial Learnability of Linear Threshold Approximations.
Tom Bylander
1993Probability is More Powerful Than Team for Language Identification from Positive Data.
Sanjay Jain, Arun Sharma
1993Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, COLT 1993, Santa Cruz, CA, USA, July 26-28, 1993.
Lenny Pitt
1993Rate of Approximation Results Motivated by Robust Neural Network Learning.
Christian Darken, Michael Donahue, Leonid Gurvits, Eduardo D. Sontag
1993Statistical Queries and Faulty PAC Oracles.
Scott E. Decatur
1993Teaching a Smart Learner.
Sally A. Goldman, H. David Mathias
1993The "lob-pass" Problem and an On-line Learning Model of Rational Choice.
Naoki Abe, Jun'ichi Takeuchi
1993Worst-Case Quadratic Loss Bounds for a Generalization of the Widrow-Hoff Rule.
Nicolò Cesa-Bianchi, Philip M. Long, Manfred K. Warmuth