2103 search results - page 209 / 421 » Approximate Learning of Dynamic Models |
151
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
215
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CVPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
173
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APLAS
2010
ACM
15 years 6 months ago
2010
ACM
Semantic preorders between processes are usually applied in practice to model approximation or implementation relationships. For interactive models these preorders depend crucially...
155
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
147
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OSDI
2008
ACM
16 years 6 months ago
2008
ACM
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...