990 search results - page 8 / 198 » Evolving kernels for support vector machine classification |
JMLR
2006
14 years 9 months ago
2006
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
MICCAI
2004
Springer
15 years 10 months ago
2004
Springer
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines...
NIPS
2004
14 years 11 months ago
2004
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...