A selective sampling approach to active feature selection

DOI10.1016/j.artint.2004.05.009zbMath1086.68572OpenAlexW1991622368MaRDI QIDQ814628

Huan Liu, Hiroshi Motoda, Lei Yu

Publication date: 7 February 2006

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2004.05.009

zbMATH Keywords

LearningSamplingDimensionality reductionFeature selection and ranking

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Active learning of constraints for weighted feature selection ⋮ Feature selection with dynamic mutual information

Uses Software

• UCI-ml

Cites Work

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• Selection of relevant features and examples in machine learning
• Wrappers for feature subset selection
• Selective sampling using the query by committee algorithm
• Theoretical and empirical analysis of ReliefF and RReliefF
• Text classification from labeled and unlabeled documents using EM
• 10.1162/153244302760185243
• An Algorithm for Finding Best Matches in Logarithmic Expected Time
• Customer retention via data mining
• Text categorization with support vector machines. How to represent texts in input space?

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