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
Link To Document :
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