217 search results - page 15 / 44 » Training Hard-Margin Support Vector Machines Using Greedy St... |
EMNLP
2009
13 years 5 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
CLEF
2011
Springer
12 years 7 months ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...