1037 search results - page 3 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ICANN
2001
Springer
13 years 10 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
SIGIR
2003
ACM
13 years 11 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
COLT
2003
Springer
13 years 11 months ago
2003
Springer
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...