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A Novel Relational Regularization Feature Selection Method for Joint Regression and Classification in AD Diagnosis

In this paper, we focus on joint regression and classification for Alzheimer’s disease diagnosis and propose a new feature selection method by embedding the relational information inherent in the observations into a sparse multi-task learning framework. Specifically, the relational information inclu...

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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: Zhu, Xiaofeng, Suk, Heung-Il, Wang, Li, Lee, Seong-Whan, Shen, Dinggang
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4862945/
https://ncbi.nlm.nih.gov/pubmed/26674971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.10.008
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