An adaptive heuristic for feature selection based on complementarity

DOI10.1007/s10994-018-5728-yzbMath1480.62133OpenAlexW2809190716WikidataQ129627581 ScholiaQ129627581MaRDI QIDQ1722737

Sumanta Singha, Prakash P. Shenoy

Publication date: 18 February 2019

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-018-5728-y

zbMATH Keywords

classificationdimensionality reductionfeature selectionadaptive heuristicfeature complementarity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

A multivariate approach to the symmetrical uncertainty measure: application to feature selection problem

Uses Software

• R
• impute
• ReliefF

Cites Work

• Is mutual information adequate for feature selection in regression?
• Feature subset selection in large dimensionality domains
• Consistency-based search in feature selection
• Relevance measures for subset variable selection in regression problems based on \(k\)-additive mutual information
• Stochastic complexity and modeling
• Wrappers for feature subset selection
• Learning Boolean concepts in the presence of many irrelevant features
• Theoretical and empirical analysis of ReliefF and RReliefF
• Multivariante information transmission
• Information of interactions in complex systems
• A new outlook on Shannon's information measures
• A Branch and Bound Algorithm for Feature Subset Selection
• 10.1162/153244303322753616
• Elements of Information Theory
• Problems and methods with multiple objective functions
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