1403 search results - page 26 / 281 » Sampling Techniques for Kernel Methods |
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FLAIRS
2004
14 years 11 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
IJON
2007
14 years 9 months ago
2007
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
104
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PAA
2002
14 years 9 months ago
2002
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
VISAPP
2008
14 years 11 months ago
2008
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
ICCAD
1998
IEEE
15 years 2 months ago
1998
IEEE
We present a fast, dynamic fault coverage estimation technique for sequential circuits that achieves high degrees of accuracy by signi cantly reducing the number of injected fault...