955 search results - page 110 / 191 » Support Vector Neural Training |
98
Voted
ESANN
2008
15 years 2 months ago
2008
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
93
Voted
ESANN
2004
15 years 2 months ago
2004
Abstract. In this paper, we propose fuzzy linear programming support vector machines (LP-SVMs) that resolve unclassifiable regions for multiclass problems. Namely, in the direction...
96
Voted
ESANN
2006
15 years 2 months ago
2006
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
101
Voted
INFORMATICASI
2002
15 years 10 days ago
2002
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
98
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...