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» Independence Decomposition in Dynamic Bayesian Networks
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ALDT
2009
Springer
140views Algorithms» more  ALDT 2009»
14 years 11 days ago
Directional Decomposition of Multiattribute Utility Functions
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
Ronen I. Brafman, Yagil Engel
IJUFKS
2000
111views more  IJUFKS 2000»
13 years 5 months ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
CDC
2009
IEEE
167views Control Systems» more  CDC 2009»
13 years 10 months ago
Factoring Dynamic Bayesian Networks based on structural observability
— Dynamic Bayesian Networks (DBNs) provide a systematic framework for robust online monitoring of dynamic systems. This paper presents an approach for increasing the efficiency ...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...
CSDA
2011
13 years 23 days ago
Hierarchical multilinear models for multiway data
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
Peter D. Hoff
FLAIRS
2008
13 years 8 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...