131 search results - page 19 / 27 » Global Conditioning for Probabilistic Inference in Belief Ne... |
AAAI
2000
13 years 8 months ago
2000
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
EWSN
2008
Springer
14 years 7 months ago
2008
Springer
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
JAIR
2006
13 years 7 months ago
2006
In a peer-to-peer inference system, each peer can reason locally but can also solicit some of its acquaintances, which are peers sharing part of its vocabulary. In this paper, we ...
RECOMB
2007
Springer
14 years 7 months ago
2007
Springer
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
JMLR
2010
13 years 2 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...