Gene Expression Profile Classification in Random Feature Space
نویسنده
چکیده
In this study, gene expression profile classification is done via sparse representation in the random feature Space, which is obtained by either random projection or nonlinear random mapping used in Extreme learning machine (ELM). The numerical experiment shows that sparse representation has slightly better performance than ELM.
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تاریخ انتشار 2014