TY - GEN
T1 - Linear response formula in generalized belief propagation for probabilistic inference
AU - Tanaka, Kazuyuki
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Linear response formulas for the generalized belief propagation in approximate inference are derived by using generalized belief propagation. The linear response formulas can give us the marginal probability between every pair of nodes and we obtain good accuracy in some examples of practical probabilistic inferences.
AB - Linear response formulas for the generalized belief propagation in approximate inference are derived by using generalized belief propagation. The linear response formulas can give us the marginal probability between every pair of nodes and we obtain good accuracy in some examples of practical probabilistic inferences.
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M3 - Conference contribution
AN - SCOPUS:33847195408
SN - 0769525040
SN - 9780769525044
T3 - Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
SP - 669
EP - 674
BT - Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
T2 - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005
Y2 - 28 November 2005 through 30 November 2005
ER -