Header logo is

TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification

2016

Conference Paper

ei


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

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)
Paper Type: Conference

DOI: 10.1137/1.9781611974348.27
Event Place: Miami, Florida, USA

State: Published

BibTex

@conference{BabMuaSch15,
  title = {TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification},
  author = {Babbar, R. and Muandet, K. and Sch{\"o}lkopf, B.},
  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},
  month_numeric = {5}
}