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143
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CSL
2006
Springer
15 years 3 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
120
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STOC
1993
ACM
15 years 7 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
166
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
120
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ICML
2008
IEEE
16 years 4 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...
141
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ICC
2007
IEEE
15 years 9 months ago
2007
IEEE
—The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications ov...