Alternative Initial Probability Tables for Elicitation of Bayesian Belief Networks
Bayesian Belief Networks are used in many fields of application. Defining the conditional dependencies via conditional probability tables requires the elicitation of expert belief to fill these tables, which grow very large quickly. In this work, we propose two methods to prepare these tables based...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Mathematical and Computational Applications |
Subjects: | |
Online Access: | https://www.mdpi.com/2297-8747/26/3/54 |