824 search results - page 99 / 165 » Learning probabilistic logic models from probabilistic examp... |
149
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FSKD
2007
Springer
15 years 10 months ago
2007
Springer
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
134
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WSC
2008
15 years 6 months ago
2008
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
122
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NIPS
2004
15 years 5 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
125
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IVC
2006
15 years 3 months ago
2006
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
132
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...