1231 search results - page 110 / 247 » A Framework for Belief Update |
110
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TSP
2008
15 years 16 days ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
118
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ICTAI
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
102
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ICMLA
2009
14 years 10 months ago
2009
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
116
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CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
120
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JMLR
2010
14 years 7 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...