1106 search results - page 82 / 222 » On regularization algorithms in learning theory |
134
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WWW
2008
ACM
16 years 5 months ago
2008
ACM
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
123
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CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
146
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
136
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STOC
2003
ACM
16 years 5 months ago
2003
ACM
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
183
Voted
CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...