DocumentCode
3313616
Title
A note on conditional entropy
Author
Wang Yong ; Huang Jinxiang ; Wang Huadeng
Author_Institution
Coll. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear
2009
fDate
8-11 Aug. 2009
Firstpage
485
Lastpage
487
Abstract
The problems of conditional entropy´s definition and the formula to compute conditional entropy are analyzed from various perspectives. Examples are given to prove the conclusion that conditional entropy never be increased is not absolute, thus the representation that information is to decrease uncertainty in the definition of information is not absolutely correct. In most conditions the reduction of uncertainty is just a byproduct by the aim of reliability. It is more important to increase the reliability of information than to reduce the uncertainty of information.
Keywords
entropy; reliability; conditional entropy; information reliability; information theory; Cities and towns; Educational institutions; Entropy; Information theory; Measurement uncertainty; Thermodynamics; conditional entropy; information theory; probability; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4519-6
Electronic_ISBN
978-1-4244-4520-2
Type
conf
DOI
10.1109/ICCSIT.2009.5234648
Filename
5234648
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