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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Bin Jiang1, A-li Luo, Yong-heng Zhao
1National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China. jiangbin@sdu.edu.cn
This study introduces an efficient automatic method to identify cataclysmic variable (CV) candidates using random forest algorithms and template matching. The approach successfully discovered 16 new CV candidates, demonstrating feasibility for celestial body detection.
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