545 search results - page 50 / 109 » Support Vector Regression Using Mahalanobis Kernels |
GFKL
2007
Springer
14 years 23 days ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Recent studies in speaker recognition have shown that scorelevel combination of subsystems can yield significant performance gains over individual subsystems. We explore the use ...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
BMCBI
2005
13 years 8 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
CIARP
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...