3677 search results - page 188 / 736 » Is a probabilistic modeling |
77
Voted
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
99
Voted
CVPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
FLAIRS
2007
15 years 18 days ago
2007
Discovery of graphical models is NP-hard in general, which justifies using heuristics. We consider four commonly used heuristics. We summarize the underlying assumptions and anal...
CONTEXT
2001
Springer
15 years 2 months ago
2001
Springer
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
84
Voted
ATVA
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. We define a probabilistic contract framework for the construction of component-based embedded systems, based on the theory of Interactive Markov Chains. A contract specif...