450 search results - page 46 / 90 » On-line support vector machines and optimization strategies |
165
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GPEM
2008
15 years 6 months ago
2008
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
160
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ESANN
2007
15 years 7 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
143
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ICASSP
2008
IEEE
16 years 17 days ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
164
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ICPR
2008
IEEE
16 years 17 days ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
170
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CIBCB
2005
IEEE
15 years 11 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...