429 search results - page 7 / 86 » Boosting support vector machines for imbalanced data sets |
KDD
2000
ACM
14 years 4 days ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
ANNPR
2006
Springer
14 years 9 days ago
2006
Springer
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...