976 search results - page 44 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
161
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ICMLA
2008
15 years 7 months ago
2008
In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
149
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FLAIRS
2008
15 years 8 months ago
2008
In this paper, we model large support vector machines (SVMs) by smaller networks in order to decrease the computational cost. The key idea is to generate additional training patte...
172
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BMCBI
2008
15 years 6 months ago
2008
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
180
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JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
134
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JCP
2006
15 years 6 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...