976 search results - page 82 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
168
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NECO
2010
15 years 28 days ago
2010
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
165
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
187
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
156
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BIBE
2007
IEEE
16 years 15 days ago
2007
IEEE
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
133
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AHS
2007
IEEE
16 years 15 days ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...