23 citations · 73 across the 19 of their papers we have counts for
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From the EM Algorithm to the CM-EM Algorithm for Global Convergence of Mixture Models
Chenguang Lu
The Expectation-Maximization (EM) algorithm for mixture models often results in slow or invalid convergence. The popular convergence proof affirms that the likelihood increases wit…
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning
Chenguang Lu
An important problem with machine learning is that when label number n>2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized l…
Semantic Channel and Shannon's Channel Mutually Match for Multi-Label Classification
Chenguang Lu
A group of transition probability functions form a Shannon's channel whereas a group of truth functions form a semantic channel. Label learning is to let semantic channels match Sh…
From Shannon's Channel to Semantic Channel via New Bayes' Formulas for Machine Learning
Chenguang Lu
A group of transition probability functions form a Shannon's channel whereas a group of truth functions form a semantic channel. By the third kind of Bayes' theorem, we can directl…