引入证据后的贝叶斯网络信息传递方法
摘要
连接树算法是贝叶斯网络的一种应用广泛并有效的精确推理算法。在贝叶斯推理中,为了保持各个节点的一致性,势必会有信息的传递。简要介绍贝叶斯网络的连接树算法以及无证据下的信息的传递方法,对贝叶斯网络在证据进入的情况下的信息传递进行了重点的介绍,尤其是处理动态证据时的情况。
出处
《计算机应用》
CSCD
北大核心
2007年第B06期85-86,共2页
journal of Computer Applications
参考文献7
-
1BENGTSSON H.Bayesian networks[Z].Mathematical Statistics Center for Mathematical Sciences,Lund Institute of Technology,Sweden,2003.
-
2MRUPHY KP.Dynamic bayesian networks:representation,inference and learning[D].University of California,Berkeley Fall,2002.
-
3LAM W,BACCHUS F.Learning Bayesian belief networks:An approach based on the MDL principle[J].Computational Intelligence,1994,10(4):269 -293.
-
4PEARL J.Fusion,propagation,and structuring in belief networks[J].Artificial Intelligence,1986,29(4):241-288.
-
5GENGTSSON H.Bayesian networks-a self-contained introduction with implementatin remarks[D].Lund Institute of Technology,1999.
-
6LAURITZEN SL,SPIEGELHALTER DJ.Local Computations with Probabilities on Graphical Structures and their Applications to Expert Systems[J].Journal of the Royal Statistical Society,Series B,1988,50(2):157-224.
-
7HUANG C,DARWICHE A.Inference in belief networks:A procedural guide[J].International Journal of Approximate Reasoning,1996,15(3):225 -263.