DocumentCode
428597
Title
Discovery of context-specific Markov blankets
Author
Klein, Assaf ; Shimony, Solomon Eyal
Author_Institution
Dept. of Math., Ben-Gurion Univ., Beer-Sheva, Israel
Volume
4
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
3833
Abstract
The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of the data in practice. An algorithm for discovery of the CSMB is presented, and empirical results show that it is capable of successfully recovering context specific (\´\´local") structures.
Keywords
Markov processes; belief networks; learning (artificial intelligence); statistical analysis; context specific structure recovery; context-specific Markov blankets; probabilistic model; Bayesian methods; Context modeling; Data mining; Knowledge representation; Learning systems; Mathematics; Probability; Random variables; Robots; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400942
Filename
1400942
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