Unsupervised feature selection via adaptive autoencoder with redundancy control.

Gong, Xiaoling; Yu, Ling; Wang, Jian; Zhang, Kai; Bai, Xiao; Pal, Nikhil R

Gong, Xiaoling; Yu, Ling; Wang, Jian; Zhang, Kai; Bai, Xiao; Pal, Nikhil R.

Afiliación

Gong X; College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: gongxiaoling@s.upc.edu.cn.
Yu L; China Electric Power Research Institute, Beijing, 100085, China.
Wang J; College of Science, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: wangjiannl@upc.edu.cn.
Zhang K; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address: zhangkai@upc.edu.cn.
Bai X; School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Jiangxi Research Institute, Beihang University, Beijing, 100191, China.
Pal NR; Centre for Artificial Intelligence and Machine Learning and ECSU, Indian Statistical Institute, Calcutta 700108, India.

Neural Netw ; 150: 87-101, 2022 Jun.

Article en En | MEDLINE | ID: mdl-35306463

Palabras clave

Autoencoder; Group lasso; Redundancy control; Unsupervised feature selection

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article

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