Abstract: ( ) ( ) ( ) 1. ( ) 2. (Bayesian network, Bayesnet, belief network) [1, 2, 3, 4, 5] [6, 7, 8, 9, 10] 0 1 1 0 Xi, Xj Xi â Xj Xj Xi X1 X2 X4 X3 X5 X2 0 1 X4 0 0.8 0.4 1 0.2 0.6 æ¡ä»¶ä»ç¢ºç表 P(X4|X2) P(X3|X1,X2ï¼ ï¼°ï½ï¼ï¼¸ï¼ï¼ ï¼°ï½ï¼ï¼¸ï¼ï¼ ï¼°ï½ï¼ï¼¸ï¼ï¼ P(Xï¼|Xï¼,Xï¼ï¼ 1: Bayesian network Xj Pa(Xj) Xj Pa(Xj) ( Pa(Xj) ) P(Xj | Pa(Xj)) (1) n X1 · · · , Xn (2) P(X1, · · · , Xn) = n � j=1 P(Xj | Pa(Xj)). (2) 1 1 3 Pa(Xj) = x1
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