DOAJ Open Access 2021

Alternative Initial Probability Tables for Elicitation of Bayesian Belief Networks

Frank Phillipson Peter Langenkamp Reinder Wolthuis

Abstrak

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 on a low number of input parameters using specific structures and one method to generate the table using probability tables of each relation of a child node with a certain parent. These tables can be used further as a starting point for elicitation.

Topik & Kata Kunci

Applied mathematics. Quantitative methods Mathematics Electronic computers. Computer science

Penulis (3)

Frank Phillipson

Peter Langenkamp

Reinder Wolthuis

Format Sitasi

APA MLA BibTeX

Phillipson, F., Langenkamp, P., Wolthuis, R. (2021). Alternative Initial Probability Tables for Elicitation of Bayesian Belief Networks. https://doi.org/10.3390/mca26030054

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.3390/mca26030054
Akses: Open Access ✓