The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classification performances reported with ADNI2 and in-house cohorts.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

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Publication date

February 2019

DOI

10.1371/journal.pone.0212582.t008

Publisher

Public Library of Science (PLoS)

Abstract

The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classification performances reported with ADNI2 and in-house cohorts.</p

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The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classification performances reported with ADNI2 and in-house cohorts.

Abstract

Extracted data

The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classification performances reported with ADNI2 and in-house cohorts.

Abstract

Extracted data

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