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COLT '99: Proceedings of the twelfth annual conference on Computational learning theory
ACM1999 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
COLT99: The 12th Annual Conference on Computation Learning Theory Santa Cruz California USA July 7 - 9, 1999
ISBN:
978-1-58113-167-3
Published:
06 July 1999
Sponsors:
SIGAI, Univ. of California,, SIGACT

Reflects downloads up to 10 Nov 2024Bibliometrics
Abstract

No abstract available.

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The robustness of the p-norm algorithms
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Regret bounds for prediction problems
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On theory revision with queries
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An apprentice learning model (extended abstract)
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Approximation algorithms for clustering problems
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An adaptive version of the boost by majority algorithm
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Drifting games
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Boosting as entropy projection
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PAC-Bayesian model averaging
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Viewing all models as “probabilistic”
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Reinforcement learning and mistake bounded algorithms
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Learning specialist decision lists
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Extensional set learning (extended abstract)
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On a generalized notion of mistake bounds
Contributors
  • University of Waterloo

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Acceptance Rates

COLT '99 Paper Acceptance Rate 35 of 71 submissions, 49%;
Overall Acceptance Rate 35 of 71 submissions, 49%
YearSubmittedAcceptedRate
COLT '99713549%
Overall713549%