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Efficient Noise-Tolerant Learning From Statistical Queries (1998)  (Make Corrections)  (107 citations)
Michael Kearns



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Abstract: this paper, we study the extension of Valiant's learning model [32] in which the positive or negative classification label provided with each random example may be corrupted by random noise. This extension was first examined in the learning theory literature by Angluin and Laird [1], who formalized the simplest type of white label noise and then sought algorithms tolerating the highest possible rate of noise. In addition to being the subject of a number of theoretical studies [1, 22, 31, 17],... (Update)

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Kearns, M. (1993). Efficient noise-tolerant learning from statistical queries. In Proceedings of the Twenty-Fifth Annual ACM Symposium on Theory of Computing, pages 392--401. http://citeseer.ist.psu.edu/kearns98efficient.html   More

@inproceedings{ kearns93efficient,
    author = "Michael Kearns",
    title = "Efficient noise-tolerant learning from statistical queries",
    pages = "392--401",
    year = "1993",
    url = "citeseer.ist.psu.edu/kearns98efficient.html" }
Citations (may not include all citations):
493   Communications of the ACM (context) - Valiant, of et al. - 1984
465   Learnability and the Vapnik-Chervonenkis dimension (context) - Blumer, Ehrenfeucht et al. - 1989
454   the uniform convergence of relative frequencies of events to.. (context) - Vapnik, Ya et al. - 1971
248   An Introduction to Computational Learning Theory (context) - Kearns, Vazirani - 1994
221   Perceptrons: An Introduction to Computational Geometry (context) - Minsky, Papert - 1988
215   Learning decision lists - Rivest - 1987
151   A general lower bound on the number of examples needed for l.. (context) - Ehrenfeucht, Haussler et al. - 1988
149   Quantifying inductive bias: AI learning algorithms and Valia.. (context) - Haussler - 1988
144   Computational limitations on learning from examples (context) - Pitt, Valiant - 1988
142   Learning from noisy examples (context) - Angluin, Laird - 1988
115   Efficient distribution-free learning of probabilistic concep.. - Kearns, Schapire - 1990
94   Learning in the presence of malicious errors - Kearns, Li - 1988
84   Learning disjunctions of conjunctions (context) - Valiant - 1985
78   the learnability of Boolean formulae - Kearns, Li et al. - 1987
66   Constant depth circuits (context) - Linial, Mansour et al. - 1989

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