3668 search results - page 6 / 734 » Margin Distribution and Learning |
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
—Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In thi...
TNN
2008
14 years 9 months ago
2008
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
JMLR
2010
14 years 4 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
COLT
2004
Springer
15 years 3 months ago
2004
Springer
Abstract— We prove that given a nearly log-concave distribution, in any partition of the space to two well separated sets, the measure of the points that do not belong to these s...