Massively-parallel best subset selection for ordinary least-squares regression
Cite as
Gieseke, F., Polsterer, K., Mahabal, A., Igel, C., & Heskes, T. (2017). Massively-parallel best subset selection for ordinary least-squares regression. In Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, Honolulu, HI, USA, 1–8.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2017
Conference
2017 IEEE Symposium Series on Computational Intelligence
Venue
Honolulu, HI, USA
Book title
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017
Start page
1
End page
8
Publisher
IEEE
Language
English
DOI
Full text