936 search results - page 61 / 188 » Learning with Rigorous Support Vector Machines |
127
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
147
Voted
LREC
2008
15 years 5 months ago
2008
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
146
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
124
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
106
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...