Search
for Author
All Reviews
Di, Ruo
Options:
All Media Types
Journals
Proceedings
Div Books
Whole Books
Other
Date Reviewed
Title
Author
Publisher
Published Date
Descending
Ascending
Date Reviewed
1
-
1
of
1
reviews
Learning Bayesian network parameters from small data sets
Guo Z., Gao X., Ren H., Yang Y., Di R., Chen D. International Journal of Approximate Reasoning 91 22-35, 2017. Type: Article
Bayesian networks (BNs) represent a powerful statistical tool for uncertainty analysis with applications in many areas, for example, medical diagnosis. Since data is often not sufficiently available to accurately learn the parameters o...
...
Mar 12 2018
Reproduction in whole or in part without permission is prohibited. Copyright 1999-2024 ThinkLoud
®
Terms of Use
|
Privacy Policy