Maximum entropy as a feasible way to describe joint distribution in expert systems
© 2017 by the Mathematical Association of Thailand. All rights reserved. In expert systems, we elicit the probabilities of different statements from the experts. However, to adequately use the expert system, we also need to know the probabilities of different propositional combinations of the expert...
Saved in:
Main Authors: | Thongchai Dumrongpokaphan, Vladik Kreinovich, Hung T. Nguyen |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039713278&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43789 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Maximum entropy as a feasible way to describe joint distribution in expert systems
由: Thongchai Dumrongpokaphan, et al.
出版: (2018) -
Entropy as a measure of average loss of privacy
由: Luc Longpré, et al.
出版: (2018) -
Entropy as a measure of average loss of privacy
由: Luc Longpré, et al.
出版: (2018) -
Why cannot we have a strongly consistent family of skew normal (And higher order) distributions
由: Thongchai Dumrongpokaphan, et al.
出版: (2018) -
Coffee stochastic frontier model with maximum entropy
由: Chatchai Khiewngamdee, et al.
出版: (2018)