research
∙
05/23/2023
Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning
A new trend in deep learning, represented by Mutual Information Neural E...
research
∙
04/21/2021
Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function
Why can the Expectation-Maximization (EM) algorithm for mixture models c...
research
∙
07/25/2020
Fair Marriage Principle and Initialization Map for the EM Algorithm
The popular convergence theory of the EM algorithm explains that the obs...
research
∙
01/17/2020
Channels' Confirmation and Predictions' Confirmation: from the Medical Test to the Raven Paradox
After long arguments between positivism and falsificationism, the verifi...
research
∙
01/28/2019
The CM Algorithm for the Maximum Mutual Information Classifications of Unseen Instances
The Maximum Mutual Information (MMI) criterion is different from the Lea...
research
∙
10/26/2018
From the EM Algorithm to the CM-EM Algorithm for Global Convergence of Mixture Models
The Expectation-Maximization (EM) algorithm for mixture models often res...
research
∙
09/03/2018
From Bayesian Inference to Logical Bayesian Inference: A New Mathematical Frame for Semantic Communication and Machine Learning
Bayesian Inference (BI) uses the Bayes' posterior whereas Logical Bayesi...
research
∙
05/02/2018
Semantic Channel and Shannon's Channel Mutually Match for Multi-Label Classification
A group of transition probability functions form a Shannon's channel whe...
research
∙
03/22/2018
From Shannon's Channel to Semantic Channel via New Bayes' Formulas for Machine Learning
A group of transition probability functions form a Shannon's channel whe...
research
∙
12/12/2010