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Minimum redundancy feature selection

Minimum redundancy feature selection is an algorithm frequently used in a method to accurately identify characteristics of genes and phenotypes and… 
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Feature selectionMutual information

Papers overview

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2020
2020
Railcar Diagnostics Using Minimal-Redundancy Maximum- Relevance Feature Selection and Support Vector Machine Classification
Railcar condition is an important factor in the complex web of relationships between railroads, railcar leasing companies… 
2020
2020
A Modified Maximum Relevance Minimum Redundancy Feature Selection Method Based on Tabu Search For Parkinson’s Disease Mining
Parkinson’s disease is a complex chronic neurodegenerative disorder of the central nervous system. One of the common symptoms for… 
2017
2017
Predicting comorbidities of epilepsy patients using big data from Electronic Health Records combined with biomedical knowledge
Epilepsy is a complex brain disorder characterized by repetitive seizure events. Epilepsy patients often suffer from various and… 
2017
2017
A novel mutual information based ant colony classifier
By constructing a list of IF-THEN rules, the traditional ant colony optimization (ACO) has been successfully applied on data… 
2010
2010
Computational Analysis of Protein Tyrosine Nitration
As an important covalent post-translational modification, Tyrosine nitration is closely related to the causes of various diseases… 
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