Minimum redundancy feature selection
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Parkinson’s disease is a complex chronic neurodegenerative disorder of the central nervous system. One of the common symptoms for… Expand Railcar condition is an important factor in the complex web of relationships between railroads, railcar leasing companies… Expand In machine learning applications for online product offerings and marketing strategies, there are often hundreds or thousands of… Expand In this paper, we use multilayer Perceptron model and a supervised learning technique called backpropagation to train a neural… Expand Abstract Dimensionality reduction is an important and challenging task in machine learning and data mining. It can facilitate… Expand In this paper, a novel hybrid method, which integrates an effective filter maximum relevance minimum redundancy (MRMR) and a fast… Expand This paper presents a hybrid filter-wrapper feature subset selection algorithm based on particle swarm optimization (PSO) for… Expand We present in this paper a comprehensive analysis of the mutual information based feature selection algorithms. We point out the… Expand Finding relevant subspaces in very high-dimensional data is a challenging task not only for microarray data. The selection of… Expand How to selecting a small subset out of the thousands of genes in microarray data is important for accurate classification of… Expand