default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHEPML@NIPS 2014: Montreal, Quebec, Canada
- Workshop on High-energy Physics and Machine Learning, HEPML 2014, held at NIPS 2014, Montreal, Quebec, Canada, December 8-13, 2014. JMLR Workshop and Conference Proceedings 42, JMLR.org 2014
Accepted Papers
- Vladimir V. Gligorov:
Real-time data analysis at the LHC: present and future. 1-18 - Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau:
The Higgs boson machine learning challenge. 19-55 - Gábor Melis:
Dissecting the Winning Solution of the HiggsML Challenge. 57-67 - Tianqi Chen, Tong He:
Higgs Boson Discovery with Boosted Trees. 69-80 - Peter J. Sadowski, Julian Collado, Daniel Whiteson, Pierre Baldi:
Deep Learning, Dark Knowledge, and Dark Matter. 81-87 - Wojciech Kotlowski:
Consistent optimization of AMS by logistic loss minimization. 99-108 - Roberto Díaz-Morales, Ángel Navia-Vázquez:
Optimization of AMS using Weighted AUC optimized models. 109-127 - Lester W. Mackey, Jordan Bryan, Man Yue Mo:
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge. 129-134
Preface
- Preface. S2014
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-15 00:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
