406 search results - page 25 / 82 » Covering Numbers for Support Vector Machines |
119
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JMLR
2012
13 years 2 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
102
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CIBCB
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
ICML
2009
IEEE
16 years 20 days ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
KES
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. Motivation: Although studies have shown that genetic alterations are causally involved in numerous human diseases, still not much is known about the molecular mechanisms ...