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Maximum entropy-driven bayesian reasoning in data classification

โœ Scribed by N.L. Bonavito; C.L. Gordon; R. Inguva; G.N. Serafino; R.A. Barnes


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
902 KB
Volume
11
Category
Article
ISSN
0736-5853

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Expert systems that use causal probabilistic networks require the user to supply complete causal information regarding the causal probabilities to be used. This paper describes a method using the maximum entropy formalism that enables such expert systems to operate with incomplete causal information