Support vector machines for unbalanced multicategory classification

DOI10.1155/2015/294985zbMath1395.62159OpenAlexW2009478042WikidataQ59117907 ScholiaQ59117907MaRDI QIDQ1665275

Kang-Mo Jung

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/294985

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• ElemStatLearn

Cites Work

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• One-step sparse estimates in nonconcave penalized likelihood models
• Variable selection using MM algorithms
• Adaptive Weighted Learning for Unbalanced Multicategory Classification
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• OnL₁-Norm Multiclass Support Vector Machines
• Multicategory Support Vector Machines
• Multicategory ψ-Learning
• The elements of statistical learning. Data mining, inference, and prediction

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