A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning

DOI10.1016/J.PATCOG.2008.12.011zbMath1183.68512OpenAlexW2070007080MaRDI QIDQ1015231

J. Martínez

Publication date: 7 May 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.12.011

zbMATH Keywords

classificationsupervised learningstatistical learning theorycost-sensitive learning

Mathematics Subject Classification ID

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

Related Items (2)

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA ⋮ Large margin cost-sensitive learning of conditional random fields

Uses Software

• UCI-ml
• ElemStatLearn
• Unnamed Item

Cites Work

• Unnamed Item
• Cost-sensitive boosting for classification of imbalanced data
• Learning Theory
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
• The elements of statistical learning. Data mining, inference, and prediction

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