96 search results - page 1 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
KDD
2003
ACM
14 years 4 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 ...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
SDM
2004
SIAM
13 years 5 months ago
2004
SIAM
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
SDM
2004
SIAM
13 years 5 months ago
2004
SIAM
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...