702 search results - page 33 / 141 » Learning Probabilistic Models of Relational Structure |
115
Voted
NIPS
2008
15 years 1 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
106
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CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
111
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PKDD
2005
Springer
15 years 6 months ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
163
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...