%0 Conference Proceedings
%T Analysis on Limitation Origins of Information Theory
%+ School of Computer Science and Engineering [Guilin University of Electronic Technology]
%+ Department of Computer Science and Engineering [Chongqing]
%A Wang, Yong
%A Wang, Huadeng
%A Cao, Qiong
%Z Part 2: Machine Learning
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 7th International Conference on Intelligent Information Processing (IIP)
%C Guilin, China
%Y Zhongzhi Shi
%Y David Leake
%Y Sunil Vadera
%I Springer
%3 Intelligent Information Processing VI
%V AICT-385
%P 50-57
%8 2012-10-12
%D 2012
%R 10.1007/978-3-642-32891-6_9
%K information theory
%K communication
%K reliability
%K model
%K uncertainty
%K probability
%Z Computer Science [cs]Conference papers
%X The limitations of Shannon information theory are pointed out from new perspectives. The limitations mainly exist in the neglects of the information reliability and completeness. The significances of the information reliability to the information measurements are further illustrated through example analysis. It is pointed out that such limitations originate from neglects of multi-level information uncertainties, uncertainty of the model and other objects of information system, and insufficient knowledge on uncertainties of probability values.
%G English
%Z TC 12
%2 https://inria.hal.science/hal-01524976/document
%2 https://inria.hal.science/hal-01524976/file/978-3-642-32891-6_9_Chapter.pdf
%L hal-01524976
%U https://inria.hal.science/hal-01524976
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-IIP
%~ IFIP-AICT-385