BELIEF NETWORKS REVISITED

[1] [Anonymous], 1982, REVEREND BAYES INFER

[2] THE COMPUTATIONAL-COMPLEXITY OF PROBABILISTIC INFERENCE USING BAYESIAN BELIEF NETWORKS [J]. ARTIFICIAL INTELLIGENCE, 1990, 42 (2-3) : 393 - 405

[3] COOPER GF, 1990, 6TH P C UNC AI CAMBR, P86

[4] DECHTER R, 1991, P IJCAI 91 SYDN AUST, P1164

[5] IDENTIFYING INDEPENDENCE IN BAYESIAN NETWORKS [J]. NETWORKS, 1990, 20 (05) : 507 - 534

[6] Geiger D., 1990, THESIS U CALIFORNIA

[7] GEVA RY, 1989, 15TH P INT WORKSH GR, P41

[8] GOLDSZMIDT M, 1992, PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE (KR 92), P661

[9] PROBABILISTIC SIMILARITY NETWORKS [J]. NETWORKS, 1990, 20 (05) : 607 - 636

[10] Henrion M., 1988, MACHINE INTELLIGENCE, V5, P149, DOI 10.1016/B978-0-444-70396-5.50019-4

[1] [Anonymous], 1982, REVEREND BAYES INFER

[2] THE COMPUTATIONAL-COMPLEXITY OF PROBABILISTIC INFERENCE USING BAYESIAN BELIEF NETWORKS [J]. ARTIFICIAL INTELLIGENCE, 1990, 42 (2-3) : 393 - 405

[3] COOPER GF, 1990, 6TH P C UNC AI CAMBR, P86

[4] DECHTER R, 1991, P IJCAI 91 SYDN AUST, P1164

[5] IDENTIFYING INDEPENDENCE IN BAYESIAN NETWORKS [J]. NETWORKS, 1990, 20 (05) : 507 - 534

[6] Geiger D., 1990, THESIS U CALIFORNIA

[7] GEVA RY, 1989, 15TH P INT WORKSH GR, P41

[8] GOLDSZMIDT M, 1992, PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE (KR 92), P661

[9] PROBABILISTIC SIMILARITY NETWORKS [J]. NETWORKS, 1990, 20 (05) : 607 - 636

[10] Henrion M., 1988, MACHINE INTELLIGENCE, V5, P149, DOI 10.1016/B978-0-444-70396-5.50019-4