2033 search results - page 18 / 407 » Semi-Supervised Support Vector Machines |
ML
2002
ACM
13 years 8 months ago
2002
ACM
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
ML
2002
ACM
13 years 8 months ago
2002
ACM
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
SYNASC
2006
IEEE
14 years 2 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
INFORMATICALT
2007
13 years 8 months ago
2007
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...