Risk-sensitive loss functions for sparse multi-category classification problems

DOI10.1016/j.ins.2008.02.009zbMath1183.68505OpenAlexW2042042193MaRDI QIDQ1031681

J. Blot

Publication date: 30 October 2009

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

Full work available at URL: https://doi.org/10.1016/j.ins.2008.02.009

zbMATH Keywords

neural networkcross-entropymulti-category classificationmicro-array gene expressionrisk-sensitive loss functionsatellite imaging

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Least squares twin multi-class classification support vector machine ⋮ A meta-cognitive learning algorithm for a fully complex-valued relaxation network ⋮ A vector-valued support vector machine model for multiclass problem

Uses Software

• UCI-ml

Cites Work

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