2103 search results - page 185 / 421 » Approximate Learning of Dynamic Models |
157
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ACL
2007
15 years 7 months ago
2007
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
165
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UC
2009
Springer
16 years 20 days ago
2009
Springer
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....
182
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
166
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NN
2002
Springer
15 years 5 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
192
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NIPS
2004
15 years 7 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...