A formalism for relevance and its application in feature subset selection

DOI10.1023/A:1007612503587zbMath0968.68072OpenAlexW1599585030MaRDI QIDQ1592382

David. A. Bell, Hui Wang

Publication date: 1 May 2001

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

Full work available at URL: https://doi.org/10.1023/a:1007612503587

zbMATH Keywords

relevancemachine learning

Mathematics Subject Classification ID

Computational learning theory (68Q32)

Related Items (7)

Exact and approximate discrete optimization algorithms for finding useful disjunctions of categorical predicates in data analysis ⋮ Approximate location of relevant variables under the crossover distribution. ⋮ From Supervised Instance and Feature Selection Algorithms to Dual Selection: A Review ⋮ Correntropy based feature selection using binary projection ⋮ Feature subset selection in large dimensionality domains ⋮ Feature selection with dynamic mutual information ⋮ Consistency-based search in feature selection

This page was built for publication: A formalism for relevance and its application in feature subset selection