32 search results - page 1 / 7 » Convergence of a Generalized SMO Algorithm for SVM Classifie... |
85
Voted
ML
2002
ACM
15 years 23 days ago
2002
ACM
101
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...
IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
106
Voted
WWW
2005
ACM
16 years 1 months ago
2005
ACM
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
98
Voted
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
A new procedure for learning cost-sensitive SVM classifiers is proposed. The SVM hinge loss is extended to the cost sensitive setting, and the cost-sensitive SVM is derived as the...