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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Railcar condition is an important factor in the complex web of relationships between railroads, railcar leasing companies… 
2020
2020
  • Waheeda Almayyan
  • International Journal of Artificial Intelligence…
  • 2020
  • Corpus ID: 214720216
Parkinson’s disease is a complex chronic neurodegenerative disorder of the central nervous system. One of the common symptoms for… 
2019
2019
In machine learning applications for online product offerings and marketing strategies, there are often hundreds or thousands of… 
2016
2016
In this paper, we use multilayer Perceptron model and a supervised learning technique called backpropagation to train a neural… 
Highly Cited
2015
Highly Cited
2015
In this paper, a novel hybrid method, which integrates an effective filter maximum relevance minimum redundancy (MRMR) and a fast… 
2010
2010
We present in this paper a comprehensive analysis of the mutual information based feature selection algorithms. We point out the… 
2010
2010
Finding relevant subspaces in very high-dimensional data is a challenging task not only for microarray data. The selection of… 
2010
2010
Background: DNA methylation will influence the gene expression pattern and cause the changes of the genetic functions…