39 search results - page 4 / 8 » Learning to Share Distributed Probabilistic Beliefs |
CORR
2012
Springer
12 years 6 months 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...
CP
2006
Springer
14 years 2 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...
ICCV
2005
IEEE
14 years 4 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...
AAAI
2006
14 years 8 days 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...
CORR
2010
Springer
13 years 11 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...