Empirical Inference
Conference Paper
2016
TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification
Empirical Inference
| Author(s): | Babbar, R. and Muandet, K. and Schölkopf, B. |
| Book Title: | Proceedings of the 2016 SIAM International Conference on Data Mining (SDM) |
| Pages: | 234--242 |
| Year: | 2016 |
| Month: | May |
| Editors: | Sanjay Chawla Venkatasubramanian and Wagner Meira |
| BibTeX Type: | Conference Paper (conference) |
| DOI: | 10.1137/1.9781611974348.27 |
| Event Place: | Miami, Florida, USA |
| State: | Published |
| Electronic Archiving: | grant_archive |
BibTeX
@conference{BabMuaSch15,
title = {TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification},
booktitle = {Proceedings of the 2016 SIAM International Conference on Data Mining (SDM)},
pages = {234--242},
editors = {Sanjay Chawla Venkatasubramanian and Wagner Meira},
month = may,
year = {2016},
author = {Babbar, R. and Muandet, K. and Sch{\"o}lkopf, B.},
doi = {10.1137/1.9781611974348.27},
month_numeric = {5}
}