335 search results - page 3 / 67 » Optimizing F-Measure with Support Vector Machines |
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
ISTA
2003
13 years 7 months ago
2003
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
IJCNN
2006
IEEE
14 years 8 days ago
2006
IEEE
— A heuristic is proposed to address free parameter selection for Support Vector Machines, with the goals of improving generalization performance and providing greater insensitiv...
ESWA
2007
13 years 6 months ago
2007
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
PR
2007
13 years 5 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...