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» Modeling affordances using Bayesian networks
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KES
2007
Springer
15 years 4 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
BMCBI
2008
166views more  BMCBI 2008»
14 years 10 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
UAI
2001
14 years 11 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
WWW
2008
ACM
15 years 10 months ago
A differential notion of place for local search
For extracting the characteristics a specific geographic entity, and notably a place, we propose to use dynamic Extreme Tagging Systems in combination with the classic approach of...
Vlad Tanasescu, John Domingue
ICAI
2009
14 years 7 months ago
BayesOWL: A Prototype System for Uncertainty in Semantic Web
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang