Unsupervised feature selection via maximum projection and minimum redundancy

出版年份 2015 全文链接

标题

作者

关键词

Machine learning, Feature selection, Unsupervised learning, Matrix factorization, Kernel method, Minimum redundancy

出版物

KNOWLEDGE-BASED SYSTEMS

Volume 75, Issue -, Pages 19-29

出版商

Elsevier BV

发表日期

2014-11-25

DOI

10.1016/j.knosys.2014.11.008

向作者/读者发起求助以获取更多资源

Protocol

在线求助

Reagent

在线求助

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now