A Note on Conditional Entropy
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.
information theory conditional entropy probability uncertainty
WANG Yong HUANG Jinxiang WANG Huadeng
College of Computer and Control Guilin University of Electronic Technology Guilin City, China
国际会议
北京
英文
1806-1808
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）