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A Novel Matrix-Similarity Based Loss Function for Joint Regression and Classification in AD Diagnosis

Recent studies on AD/MCI diagnosis have shown that the tasks of identifying brain disease and predicting clinical scores are highly related to each other. Furthermore, it has been shown that feature selection with a manifold learning or a sparse model can handle the problems of high feature dimensio...

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Hlavní autoři: Zhu, Xiaofeng, Suk, Heung-Il, Shen, Dinggang
Médium: Artigo
Jazyk:Inglês
Vydáno: 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4138265/
https://ncbi.nlm.nih.gov/pubmed/24911377
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.05.078
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