545 search results - page 2 / 109 » Support Vector Regression Using Mahalanobis Kernels |
ICANN
2001
Springer
13 years 10 months ago
2001
Springer
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
IJON
2006
13 years 5 months ago
2006
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
NIPS
2001
13 years 7 months ago
2001
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
ESANN
2007
13 years 7 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...