Speedy greedy feature selection: Better redshift estimation via massive parallelism

Gieseke F, Polsterer KL, Oancea CE, Igel C

Cite as

Gieseke, F., Polsterer, K., Oancea, C., & Igel, C. (2014). Speedy greedy feature selection: Better redshift estimation via massive parallelism. In Proceedings of the 22th European Symposium on Artificial Neural Networks, Bruges, Belgium.

Details

Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2014

Conference
22th European Symposium on Artificial Neural Networks

Venue
Bruges, Belgium

Book title
22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014

Language
English

Full text
es2014-171.pdf