A robust and interpretable feature selection pipeline

A robust and interpretable feature selection pipeline

A feature selection pipeline that removes redundant and irrelevant features without resulting in a significant drop in performance is investigated in this work. The novel pipeline frameworks consider the combined effect of redundancy minimisation through Principal Feature Analysis (PFA) algorithms...

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書目詳細資料
主要作者:	Krishnan, Nithya
其他作者:	A S Madhukumar
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2021
主題:	Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/148109
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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