A hybrid filter/wrapper approach of feature selection using information theory

DOI10.1016/S0031-3203(01)00084-XzbMath0997.68115OpenAlexW2095390342MaRDI QIDQ1347722

Richard Nock, Marc Sebban

Publication date: 1 May 2002

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00084-x

zbMATH Keywords

filter modelhybrid models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (9)

Non-parametric classifier-independent feature selection ⋮ Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring ⋮ GEOMETRIC PROXIMITY GRAPHS FOR IMPROVING NEAREST NEIGHBOR METHODS IN INSTANCE-BASED LEARNING AND DATA MINING ⋮ Crop prediction based on soil and environmental characteristics using feature selection techniques ⋮ Unnamed Item ⋮ A relative decision entropy-based feature selection approach ⋮ Complexity in the case against accuracy estimation ⋮ Unnamed Item ⋮ Polar Classification of Nominal Data

Uses Software

• UCI-ml
• C4.5
• bootstrap

Cites Work

• Selection of relevant features and examples in machine learning
• Improved boosting algorithms using confidence-rated predictions
• An Analysis of Variance for Categorical Data
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