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233
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IJCNN
2008
IEEE
16 years 2 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
236
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CIBCB
2006
IEEE
16 years 1 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
189
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IMC
2006
ACM
16 years 1 months ago
2006
ACM
An important stage of wide-area systems and networking research is to prototype a system to understand its performance when deployed in the real Internet. A key requirement of pro...
240
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CORR
2008
Springer
15 years 7 months ago
2008
Springer
Getting agents in the Internet, and in networks in general, to invest in and deploy security features and protocols is a challenge, in particular because of economic reasons arisi...
228
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IWANN
2005
Springer
16 years 1 months ago
2005
Springer
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...