2036 search results - page 139 / 408 » 1-norm Support Vector Machines |
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IJCNN
2007
IEEE
15 years 10 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...
140
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
152
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ICML
2003
IEEE
16 years 4 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...
120
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COLT
2005
Springer
15 years 9 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
126
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ECML
2004
Springer
15 years 9 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,...