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LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 2 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 7 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ICPPW
2007
IEEE
14 years 1 months ago
Cooperative Localization with Pre-Knowledge Using Bayesian Network for Wireless Sensor Networks
Obtaining location information by localization schemes for sensor nodes makes applications of wireless sensor networks (WSNs) more meaningful. Most of localization schemes only us...
Shih-Hsiang Lo, Chun-Hsien Wu, Yeh-Ching Chung
POLICY
2007
Springer
14 years 1 months ago
A Socio-cognitive Approach to Modeling Policies in Open Environments
The richness of today’s electronic communications mirrors physical world: activities such as shopping, business and scientific collaboration are conducted online. Current intera...
Tatyana Ryutov
BMCBI
2010
97views more  BMCBI 2010»
13 years 2 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...