408 search results - page 9 / 82 » Node Aggregation for Distributed Inference in Bayesian Netwo... |
114
Voted
ISDA
2008
IEEE
15 years 6 months ago
2008
IEEE
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
119
Voted
UAI
2001
15 years 1 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
AAAI
2006
15 years 1 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
115
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IDEAS
2006
IEEE
15 years 6 months ago
2006
IEEE
In this paper, we present SURCH, a novel decentralized algorithm for efficient processing of queries generated in sensor networks. Unlike existing techniques, SURCH is fully dist...
117
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AIIA
2003
Springer
15 years 5 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...