Computer Science ›› 2006, Vol. 33 ›› Issue (9): 166-168.

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LIU Zhen ,TAN Liang, ZHOU Ming Tian (Westone United Lab of College of Computer Science and Engineering,UESTC, Sichuan, Chengdu 610054)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: Uncertain probabilistic inference is often made in Bayesian network. However, for a common complicated network, accurate inference algorithm is always deserted for its unpaid high cost of computing complexity. Aiming at this problem, this paper brings for

Key words: Probability propagation, Bayesian network, Potential function, Message pass

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