217 search results - page 15 / 44 » Training Hard-Margin Support Vector Machines Using Greedy St... |
129
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EMNLP
2009
15 years 25 days 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. ...
121
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ICPR
2010
IEEE
15 years 6 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...
101
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ICML
2007
IEEE
16 years 3 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....
158
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CLEF
2011
Springer
14 years 2 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...
131
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ICML
2003
IEEE
16 years 3 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...