657 search results - page 1 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
ICPR
2000
IEEE
13 years 9 months ago
2000
IEEE
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
KAIS
2010
13 years 3 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
TMI
2010
13 years 2 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
CIARP
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...