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» Lossless Decomposition of Bayesian Networks
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ECSQARU
2009
Springer
14 years 2 months ago
Triangulation Heuristics for BN2O Networks
A BN2O network is a Bayesian network having the structure of a bipartite graph with all edges directed from one part (the top level) toward the other (the bottom level) and where a...
Petr Savický, Jirí Vomlel
SQJ
2008
116views more  SQJ 2008»
13 years 7 months ago
E-commerce system quality assessment using a model based on ISO 9126 and Belief Networks
: As business transitions into the new economy, e-system successful use has become a strategic goal. Especially in business to consumer (e-commerce) applications, users highly eval...
Antonia Stefani, Michalis Nik Xenos
PR
2011
12 years 10 months ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
JMLR
2010
134views more  JMLR 2010»
13 years 2 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
ARTMED
2004
118views more  ARTMED 2004»
13 years 7 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner