429 search results - page 5 / 86 » Boosting support vector machines for imbalanced data sets |
PAKDD
2007
ACM
14 years 2 months ago
2007
ACM
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
TNN
2010
13 years 3 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
CSDA
2010
13 years 6 months ago
2010
A modified active subset selection method based on quadratic R
PRL
2006
13 years 8 months ago
2006
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
PAMI
2006
13 years 8 months ago
2006
A new approach to support vector machine (SVM) classification is proposed wherein each of two data sets are proximal to one of two distinct planes that are not parallel to each oth...