49 search results - page 1 / 10 » On generalization bounds, projection profile, and margin dis... |
ICML
2002
IEEE
14 years 11 months ago
2002
IEEE
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
TIT
2002
13 years 10 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
JMLR
2010
13 years 9 months ago
2010
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...