160 search results - page 11 / 32 » Adaptive importance sampling in general mixture classes |
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
ICMLA
2009
13 years 5 months ago
2009
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
IJCAI
1997
13 years 8 months ago
1997
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...