On feature selection for supervised learning problems involving high-dimensional analytical information
Author:
Affiliation:
1. Department of Chemical Engineering
2. Pukyong National University
3. Busan
4. Korea
Abstract
Feature selection for supervised learning problems involving analytical information.
Funder
Pukyong National University
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2016/RA/C6RA09336A
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