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Uniform-distribution attribute noise learnability

Published: 06 July 1999 Publication History
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    References

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    Avrim Blum, Carl Burch, and John Langford. On Learning Monotone Boolean Functions. In Proceedings of the 39th Annual IEEE Symposium on Foundations of Computer Science, 1998.
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    Sally Goldman and Robert Sloan. Can PAC Learning Algorithms Tolerate Random Attribute Noise? In Algorithmica, 14(1):70-84, 1995.
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    M. Kearns and M. Li. Learning in the Presence of Malicious Errors. In SIAM Journal on Computing, 22(4):80.7-837, 1993.
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    George Shackelford and Dennis Volper. Learning k- DNF with Noise in the Attributes. In Proceedings of the 1988 Workshop on Computational Learning Theory, 97-103, 1988.
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    Hans Ulrich Simon. General Bounds on the Number of Examples Needed for Learning Probabilistic Concepts. In Proceedings of the 6th Annual ACM Workshop on Computational Learning Theory, pages 402-411, 1993.

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    1. Uniform-distribution attribute noise learnability

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          cover image ACM Conferences
          COLT '99: Proceedings of the twelfth annual conference on Computational learning theory
          July 1999
          333 pages
          ISBN:1581131674
          DOI:10.1145/307400
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 06 July 1999

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          COLT '99 Paper Acceptance Rate 35 of 71 submissions, 49%;
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          • (2011)Learning Boolean functions in AC0 on attribute and classification noise -- Estimating an upper bound on attribute and classification noiseTheoretical Computer Science10.1016/j.tcs.2011.04.047412:35(4650-4660)Online publication date: 1-Aug-2011
          • (2004)Hardness amplification within NPJournal of Computer and System Sciences10.1016/j.jcss.2004.01.00169:1(68-94)Online publication date: 1-Aug-2004
          • (2004)Learning Boolean Functions in AC 0 on Attribute and Classification NoiseAlgorithmic Learning Theory10.1007/978-3-540-30215-5_12(142-155)Online publication date: 2004
          • (2003)On the noise sensitivity of monotone functionsRandom Structures & Algorithms10.1002/rsa.1009723:3(333-350)Online publication date: 1-Oct-2003
          • (2002)On using extended statistical queries to avoid membership queriesThe Journal of Machine Learning Research10.1162/1532443027602006692(359-395)Online publication date: 1-Mar-2002
          • (2002)Hardness amplification within NPProceedings of the thiry-fourth annual ACM symposium on Theory of computing10.1145/509907.510015(751-760)Online publication date: 19-May-2002
          • (2001)On Using Extended Statistical Queries to Avoid Membership QueriesComputational Learning Theory10.1007/3-540-44581-1_35(529-545)Online publication date: 13-Sep-2001

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