Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning-Reference-Cited by-同舟云学术

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning

Author:

Wu Xingyu¹^ORCID,Jiang Bingbing²,Wang Xiangyu³^ORCID,Ban Taiyu¹^ORCID,Chen Huanhuan¹^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

2. School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China

3. School of Data Science, University of Science and Technology of China, Hefei, China

Funder

National Key Research and Development Program of China

National Nature Science Foundation of China

Key Research and Development Program of Anhui Province

Key Science and Technology Special Project of Anhui Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

Reference56 articles.

1. Online feature selection by adaptive sub-gradient methods;zhai;Proc Eur Conf Mach Learn Knowl Discovery Databases,2018

3. TIED: An artificially simulated dataset with multiple Markov boundaries;statnikov;Proc Workshop Conf Causality Objectives Assessment,2010

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