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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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| 出版年: | Med Image Anal |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | 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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