Article
A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis.
Scientific reports - 30 Mar 2017
An Le, Adeli Ehsan, Liu Mingxia, Zhang Jun, Lee Seong-Whan, Shen Dinggang
Abstract excerpt
Classification is one of the most important tasks in machine learning. Due to feature redundancy or outliers in samples, using all available data for training a classifier may be suboptimal. For example, the Alzheimer's disease (AD) is correlated with certain brain regions or single nucleotide polymorphisms (SNPs), and identification of relevant features is critical for computer-aided diagnosis. Many existing...
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