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… (More)
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Topic mentions per year

2003-2017
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2017
2017
  • Parham Shahidi, Daniel Maraini, Brad Hopkins
  • 2017
Railcar condition is an important factor in the complex web of relationships between railroads, railcar leasing companies… (More)
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2016
2016
In this paper, we use multilayer Perceptron model and a supervised learning technique called backpropagation to train a neural… (More)
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2016
2016
Glioblastoma multiforme GBM is a highly aggressive type of brain cancer with very low median survival. In order to predict the… (More)
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2012
2012
Detection of malignancy from histopathological images of breast cancer is a labor-intensive and error-prone process. To… (More)
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Highly Cited
2011
Highly Cited
2011
This paper presents a hybrid filter–wrapper feature subset selection algorithm based on particle swarm optimization (PSO) for… (More)
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2010
2010
Finding relevant subspaces in very highdimensional data is a challenging task not only for microarray data. The selection of… (More)
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2010
2010
We present in this paper a comprehensive analysis of the mutual information based feature selection algorithms. We point out the… (More)
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Highly Cited
2003
Highly Cited
2003
How to selecting a small subset out of the thousands of genes in microarray data is important for accurate classification of… (More)
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2003
2003
Selecting a small subset of genes out of the thousands of genes in microarray data is important for accurate classification of… (More)
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