434 search results - page 30 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
CEC
2007
IEEE
14 years 3 months ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
NIPS
2001
13 years 10 months ago
2001
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
JMLR
2006
13 years 8 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
JMLR
2006
13 years 8 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...