177 search results - page 23 / 36 » Kernel Logistic Regression and the Import Vector Machine |
102
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JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
102
click to vote
BMCBI
2010
14 years 11 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
104
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RECOMB
2005
Springer
15 years 12 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...