Abstract is missing.
- Preface [doi]
- Real-time data analysis at the LHC: present and futureVladimir Gligorov. 1-18 [doi]
- The Higgs boson machine learning challengeClaire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau. 19-55 [doi]
- Dissecting the Winning Solution of the HiggsML ChallengeGábor Melis. 57-67 [doi]
- Higgs Boson Discovery with Boosted TreesTianQi Chen, Tong He. 69-80 [doi]
- Deep Learning, Dark Knowledge, and Dark MatterPeter J. Sadowski, Julian Collado, Daniel Whiteson, Pierre Baldi. 81-87 [doi]
- Consistent optimization of AMS by logistic loss minimizationWojciech Kotlowski. 99-108 [doi]
- Optimization of AMS using Weighted AUC optimized modelsRoberto Díaz-Morales, Ángel Navia-Vázquez. 109-127 [doi]
- Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML ChallengeLester W. Mackey, Jordan Bryan, Man Yue Mo. 129-134 [doi]