Stable Feature Selection from Brain sMRI

25 Mar 2015Bo XinLingjing HuYizhou WangWen Gao

Neuroimage analysis usually involves learning thousands or even millions of variables using only a limited number of samples. In this regard, sparse models, e.g. the lasso, are applied to select the optimal features and achieve high diagnosis accuracy... (read more)

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