Entropy as a measure of average loss of privacy
© 2017 by the Mathematical Association of Thailand. All rights reserved. Privacy means that not everything about a person is known, that we need to ask additional questions to get the full information about the person. It therefore seems to reasonable to gauge the degree of privacy in each situation...
Saved in:
Main Authors: | Luc Longpré, Vladik Kreinovich, Thongchai Dumrongpokaphan |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039744616&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57541 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Chiang Mai University |
相似書籍
-
Entropy as a measure of average loss of privacy
由: Luc Longpré, et al.
出版: (2018) -
Maximum entropy as a feasible way to describe joint distribution in expert systems
由: Thongchai Dumrongpokaphan, et al.
出版: (2018) -
Maximum entropy as a feasible way to describe joint distribution in expert systems
由: Thongchai Dumrongpokaphan, et al.
出版: (2018) -
Optimal group decision making criterion and how it can help to decrease poverty, inequality, and discrimination
由: Vladik Kreinovich, et al.
出版: (2018) -
How to select an appropriate similarity measure: Towards a symmetry-based approach
由: Ildar Batyrshin, et al.
出版: (2018)