An ordered feature recognition method based on ranking separability

DOI10.1016/j.ins.2023.119518MaRDI QIDQ6052636

Wenjian Wang, Hang Xu, Shuai Ma

Publication date: 22 September 2023

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

mixed dataordinal classificationfeature recognitionordered featureordinal arrangementranking separability

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Partially monotonic decision trees
• Rough sets methodology for sorting problems in presence of multiple attributes and criteria
• Risk apportionment and multiply monotone targets
• Learning rule sets and Sugeno integrals for monotonic classification problems
• Incremental approaches for heterogeneous feature selection in dynamic ordered data
• A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models
• A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting
• Decision trees for monotone price models
• Multicriteria Models for Learning Ordinal Data: A Literature Review
• Information entropy for ordinal classification
• Nonparametric Knn estimation with monotone constraints
• Learning monotone preferences using a majority rule sorting model

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