976 search results - page 15 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
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EUROCOLT
1999
Springer
15 years 1 months ago
1999
Springer
TNN
2008
14 years 9 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
UAI
2000
14 years 10 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
112
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IJCNN
2007
IEEE
15 years 3 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...
DCC
2009
IEEE
15 years 10 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...