3668 search results - page 152 / 734 » Margin Distribution and Learning |
134
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
172
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COLT
1992
Springer
15 years 10 months ago
1992
Springer
We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies lea...
156
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EUROGP
2008
Springer
15 years 8 months ago
2008
Springer
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
166
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COLT
1999
Springer
15 years 10 months ago
1999
Springer
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
224
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...