306 search results - page 24 / 62 » Risk sensitive robust support vector machines |
148
Voted
AIPRF
2008
15 years 3 months ago
2008
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
128
Voted
ESANN
2004
15 years 3 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
132
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
103
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ECML
2004
Springer
15 years 7 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
109
Voted
ICML
2008
IEEE
16 years 2 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...