Group guided fused Laplacian sparse group Lasso for modeling Alzheimer's disease progression

DOI10.1155/2020/4036560OpenAlexW3004915343WikidataQ89909043 ScholiaQ89909043MaRDI QIDQ2176042

Jun Kong, Xiaoli Liu, Fulong Ren, Jian-Zhong Wang

Publication date: 30 April 2020

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/4036560

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Cites Work

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• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Split Bregman method for large scale fused Lasso
• Convex multi-task feature learning
• Split Bregman Methods and Frame Based Image Restoration
• Sparsity and Smoothness Via the Fused Lasso
• All of Nonparametric Statistics

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