26 search results - page 1 / 6 » SVM optimization: inverse dependence on training set size |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
IJON
2008
13 years 4 months ago
2008
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...