Chenguang Lu's Generalized Information Theory

Chenguang Lu's Semantic Information Theory and Philosophy

	Recent papers about machine learning Papers on ArXiv
2019	Semantic Information G Theory and Logical Bayesian Inference for Machine Learning
2017	The Semantic Information Method for Maximum Mutual Information and Maximum Likelihood of Tests, Estimations, and Mixture Models
2012	GPS Information and Rate Tolerance - Clarifying Relationship between Rate Distortion and Complexity Distortion
2007	A Generalized Information Formula as Bridge between Shannon and Popper
2006	Subjective Information Measure and Rate Fidelity Theory
2003	Preface of Monograph: Color Mystery and Fundamental Questions in Philosophy
1999	A Generalization of Shannon's Information Theory --The Information Theory Unifying Shannon and Popper's theories (Published on Int. J.of General Systems)
1997	Theory of Portfolio and Information Value Based on Incremental Entropy
1993	A Generalizaed Information Theory (in Chinese)

Semantic Information G Theory and Logical Bayesian Inference for Machine Learning