1253 search results - page 87 / 251 » Feature selection for linear support vector machines |
SCHOLARPEDIA
2008
13 years 6 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
AHS
2007
IEEE
14 years 2 months ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
MCS
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...