39 search results - page 4 / 8 » Learning to Share Distributed Probabilistic Beliefs |
181
Voted
CORR
2012
Springer
14 years 8 days ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
144
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CP
2006
Springer
15 years 8 months ago
2006
Springer
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
127
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ICCV
2005
IEEE
15 years 10 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
154
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AAAI
2006
15 years 6 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
123
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...