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Loss function
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131	Learning Submodular Losses with the Lov´ asz Hinge Jiaqian Yu, Matthew Blaschko To cite this version: Jiaqian Yu, Matthew Blaschko. Learning Submodular Losses with the Lov´asz Hinge. International Conference on Machine Add to Reading List Source URL: hal.inria.fr Language: English Machine learning Submodular set function Order theory Convex analysis Supermodular function Hinge loss Empirical risk minimization Linear programming Vector space Mathematics Mathematical optimization Algebra
132	This paper was presented as part of the main technical program at IEEE INFOCOMA Nearly-Optimal Index Rule for Scheduling of Users with Abandonment Urtzi Ayesta∗† , Peter Jacko∗ and Vladimir Novak∗‡ ∗ B Add to Reading List Source URL: homepages.laas.fr Language: English - Date: 2012-01-01 05:04:19 Systems theory Dynamic programming Equations Markov processes Decision theory Loss function Bellman equation Asymptotically optimal algorithm Markov decision process Statistics Control theory Mathematical optimization
133	Ecosystem Function and Values of Wetlands and Waters of the U.S. for the Honolulu High-Capacity Transit Corridor Project Eric Guinther and Robert Bourke1 AECOS Consultants September 16, 2009 Add to Reading List Source URL: www.honolulutransit.org Language: English - Date: 2014-04-09 08:01:36 Aquatic ecology Hydrology Environmental economics Environmental soil science Habitats Wetland Surface runoff Riparian zone No net loss wetlands policy Environment Earth Water
134	A Quantitative Method for Substantive Robustness Assessment Forthcoming in Political Science Research and Methods Justin Esarey∗ and Nathan Danneman† April 10, 2014 Add to Reading List Source URL: jee3.web.rice.edu Language: English - Date: 2014-04-10 17:15:59 Statistical inference Econometrics Estimation theory Statistical hypothesis testing Statistical power Type I and type II errors Bayes estimator Confidence interval Loss function Statistics Hypothesis testing Design of experiments
135	Chapter 1 Heuristics The official dogma on parametric estimation is: Good estimators converge to the right thing and have limiting normal distributions; moreover, the variance of the limiting distribution can’t be sma Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2010-09-07 00:00:23 Consistent estimator Maximum likelihood Fisher information Fisher consistency Loss function Estimator Sufficient statistic Delta method M-estimator Statistics Estimation theory Statistical theory
136	PDF Document Add to Reading List Source URL: www.dnb.nl Language: English - Date: 2014-12-14 17:37:35 Econometrics Economics Loss function Statistical theory Sensitivity analysis Knowledge Multiplier Monetary policy Statistics Macroeconomics Decision theory
137	Modeling and evaluating water allocation risks using Value-at-Risk Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 22:50:34 Ethics Financial risk Mathematical finance Decision theory Risk management Expected shortfall Cudgegong River Loss function Actuarial science Risk Management
138	Near-optimal Adaptive Pool-based Active Learning with General Loss Nguyen Viet Cuong Department of Computer Science National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 08:21:02 Statistical theory Entropy Pointwise Integral Matroid Mathematics Submodular set function Information theory
139	Optimizing F-Measures: A Tale of Two Approaches Nan Ye Department of Computer Science, National University of Singapore, SingaporeKian Ming A. Chai Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-06-28 04:45:03 Decision theory Loss function Statistical theory Estimation theory Biblical criticism Symbol Differences between codices Sinaiticus and Vaticanus Statistics Econometrics Bible
140	An Online Learning-based Framework for Tracking Kamalika Chaudhuri Yoav Freund Daniel Hsu Computer Science and Engineering Computer Science and Engineering Computer Science and Engineering Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:47 Markov models Linear filters Decision theory Econometrics Loss function Statistical theory Kalman filter Algorithm Statistical classification Statistics Machine learning Applied mathematics