Stochastic DCA for Sparse Multiclass Logistic Regression

DOI10.1007/978-3-319-61911-8_1zbMath1429.68226OpenAlexW2726619213MaRDI QIDQ5214091

Hoai An Le Thi, Bach Tran, Duy Nhat Phan, Hoai Minh Le

Publication date: 7 February 2020

Published in: Advanced Computational Methods for Knowledge Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-61911-8_1

zbMATH Keywords

DC programmingstochastic DCAsparse multiclass logistic regression

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• LASSO
• penalizedLDA
• ALOI

Cites Work

• Unnamed Item
• DC approximation approaches for sparse optimization
• Group coordinate descent algorithms for nonconvex penalized regression
• On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
• Convex analysis approach to d. c. programming: Theory, algorithms and applications
• The DC (Difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
• Variable selection for multicategory SVM via adaptive sup-norm regularization
• A DC programming approach for feature selection in support vector machines learning
• Penalized Classification using Fisher’s Linear Discriminant
• A D.C. Optimization Algorithm for Solving the Trust-Region Subproblem
• Model Selection and Estimation in Regression with Grouped Variables

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