114 search results - page 4 / 23 » Some Improvements to a Parallel Decomposition Technique for ... |
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...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
NCA
2010
IEEE
13 years 5 months ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...