PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Learning with Malicious Noise
Peter Auer
(2007) Springer.

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Abstract

This problem is concerned with PAC learning of concept classes when training examples are effected by malicious errors. The malicious noise model extends the PAC model by allowing example errors of any kind: it makes no assumptions on the nature of the errors that occur.

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EPrint Type:Other
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:3624
Deposited By:Peter Auer
Deposited On:13 February 2008

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