32 search results - page 1 / 7 » Convergence of a Generalized SMO Algorithm for SVM Classifie... |
ML
2002
ACM
13 years 4 months ago
2002
ACM
ESANN
2008
13 years 6 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
13 years 11 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...
WWW
2005
ACM
14 years 5 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...
ICML
2010
IEEE
13 years 5 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...