TY - GEN
T1 - Discovery of Context-Specific Markov Blankets
AU - Klein, Assaf
AU - Shimony, Solomon Eyal
PY - 2004/12/1
Y1 - 2004/12/1
N2 - 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.
AB - 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.
KW - Bayesian Knowledge Bases
KW - Bayesian Networks
KW - Context specific independence
KW - Data Mining
KW - Markov Blankets
UR - http://www.scopus.com/inward/record.url?scp=15744387424&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2004.1400942
DO - 10.1109/ICSMC.2004.1400942
M3 - Conference contribution
AN - SCOPUS:15744387424
SN - 0780385667
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3833
EP - 3838
BT - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
T2 - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Y2 - 10 October 2004 through 13 October 2004
ER -