1416 search results - page 93 / 284 » Optimal feature selection for support vector machines |
150
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ICML
2004
IEEE
15 years 9 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
136
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MCS
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
158
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PPOPP
2009
ACM
16 years 4 months ago
2009
ACM
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
144
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
157
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TIFS
2010
14 years 11 months ago
2010
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...