Feature selection with dynamic mutual information
By Huawen Liu, Jigui Sun, Lei Liu, Huijie Zhang. Pattern Recognition, 2009
388 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/cae7494c59f451ec21db076132f4470cf957e2f8
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In Artificial Intelligence
In Computer Vision and Pattern Recognition
Citations in the corpus
- Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, neutral): “In addition, most of the algorithms based on information measurements can be unified to a general criterion function about mutual information in feature selection [37].”
- Feature Selection Using Principal Component Analysis (2010, background): “In the past years many concepts and approaches such as the mutual information [1], feature similarity [2], loss-margin of nearest neighbor classification [3], ant colony optimization [4] and genetic algorithms [5] have been proposed for feature selection.”
- mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification (2011, background): “The two equations describing these hyperplanes are (w xi b) = 1 and (w xi b) = 1.”