26 search results - page 2 / 6 » SVM optimization: inverse dependence on training set size |
JMLR
2010
13 years 2 days ago
2010
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
ICML
2000
IEEE
14 years 6 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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
IPSN
2010
Springer
14 years 3 days ago
2010
Springer
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...