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» Exploiting Causal Independence in Large Bayesian Networks
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BMCBI
2008
166views more  BMCBI 2008»
15 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
112
Voted
MOBIHOC
2010
ACM
15 years 1 months ago
Security-capacity trade-off in large wireless networks using keyless secrecy
We investigate the scalability of a class of algorithms that exploit the dynamics of wireless fading channels to achieve secret communication in a large wireless network of n rando...
Sudarshan Vasudevan, Dennis Goeckel, Donald F. Tow...
146
Voted
IJCAI
2007
15 years 5 months ago
Compiling Bayesian Networks Using Variable Elimination
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
Mark Chavira, Adnan Darwiche
126
Voted
FSKD
2006
Springer
187views Fuzzy Logic» more  FSKD 2006»
15 years 7 months ago
A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory
As the World Wide Web becomes a large source of digital music, the music recommendation system has got a great demand. There are several music recommendation systems for both comme...
Han-Saem Park, Ji-Oh Yoo, Sung-Bae Cho
ECCV
2000
Springer
16 years 5 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn