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» Context-Specific Independence in Bayesian Networks
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AUSAI
2005
Springer
14 years 3 months ago
Ensemble Selection for SuperParent-One-Dependence Estimators
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey ...
ISMIS
2000
Springer
14 years 1 months ago
A Comparative Study of Noncontextual and Contextual Dependencies
There is current interest in generalizing Bayesian networks by using dependencies which are more general than probabilistic conditional independence (CI). Contextual dependencies, ...
S. K. Michael Wong, Cory J. Butz
KR
2004
Springer
14 years 3 months ago
GAI Networks for Utility Elicitation
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...
Christophe Gonzales, Patrice Perny
RECOMB
2003
Springer
14 years 10 months ago
Modeling dependencies in protein-DNA binding sites
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kap...
CSDA
2011
13 years 4 months 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