scholarly journals An Introduction to Maximum Likelihood Estimation and Information Geometry

2011 ◽  
Vol 17 (3) ◽  
pp. 155-174 ◽  
Author(s):  
Keiji MIURA
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Information Geometry

scholarly journals Improved Neural Networks Based on Mutual Information via Information Geometry

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 103
Author(s):  
Meng Wang ◽  
Chuang-Bai Xiao ◽  
Zhen-Hu Ning ◽  
Jing Yu ◽  
Ya-Hao Zhang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Mutual Information ◽  
Likelihood Estimation ◽  
Information Geometry ◽  
Geodesic Line ◽  
Classification And Regression ◽  
Theory Of Information

This paper presents a new algorithm based on the theory of mutual information and information geometry. This algorithm places emphasis on adaptive mutual information estimation and maximum likelihood estimation. With the theory of information geometry, we adjust the mutual information along the geodesic line. Finally, we evaluate our proposal using empirical datasets that are dedicated for classification and regression. The results show that our algorithm contributes to a significant improvement over existing methods.

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