Object oriented design and implementation of a probabilistic inference system

Graduate Project

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_projects/4t64gw649

Descriptions

Attribute Name	Values
Creator	Yan, Caihua
Abstract	Probabilistic inference in belief networks provides an effective way of reasoning under uncertainty. Efficiency is critical in applying this technique and many algorithms have been developed by many researchers. This is to report the object oriented design and implementation in C++ of such a probabilistic inference system using efficient algorithms.
Resource Type	Capstone Project
Date Issued	1993-11-30
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	1993
Advisor	D'Ambrosio, Bruce
Academic Affiliation	Computer Science
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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