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Loss function
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#	Item
101	Machine Learning Techniques—Reductions Between Prediction Quality Metrics Alina Beygelzimer and John Langford and Bianca Zadrozny Abstract Machine learning involves optimizing a loss function on unlabeled data points g Add to Reading List Source URL: hunch.net Language: English - Date: 2008-03-16 20:29:01
102	Unnatural L0 Sparse Representation for Natural Image Deblurring Supplementary Material Li Xu Shicheng Zheng Jiaya Jia The Chinese University of Hong Kong Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2013-04-16 04:01:35 Numerical linear algebra Sparse approximation Ogonek Loss function Mathematical optimization
103	Competitive on-line learning with a convex loss function Vladimir Vovk Peter Add to Reading List Source URL: www.probabilityandfinance.com Language: English - Date: 2005-09-02 12:27:18
104	Robustness and U.S. Monetary Policy Experimentation∗ Timothy Cogley† Riccardo Colacito‡ Lars Peter Hansen§ Thomas J. Sargent¶ Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:04:05 Decision theory Control theory Mathematical optimization Dynamic programming Bellman equation Thomas J. Sargent Loss function Prior probability Hyperparameter Statistics Bayesian statistics Economics
105	Microsoft Word - FLOODSTAND_DeliverableT6.1___R20.doc Add to Reading List Source URL: floodstand.aalto.fi Language: English - Date: 2012-04-11 17:31:12 Utility Science Actuarial science Risk Behavioral finance Expected utility hypothesis Prospect theory Loss function Crisis Decision theory Statistics Knowledge
106	Theor Appl Genet DOIs00122ORIGINAL PAPER Multiple loss‑of‑function 5‑O‑glucosyltransferase alleles revealed Add to Reading List Source URL: www.hawaiitropicalfruitgrowers.org Language: English - Date: 2014-10-06 00:25:27
107	Approximate Parameter Learning in Discriminative Fields Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:54 M-estimators Econometrics Bayesian statistics Maximum likelihood Likelihood function Loss function Statistics Estimation theory Statistical theory
108	StLouis803a.tex Optimal Monetary Policy under Uncertainty: A Markov Jump-Linear-Quadratic Approach∗ Lars E.O. Svensson Sveriges Riksbank and Princeton University Add to Reading List Source URL: larseosvensson.se Language: English - Date: 2013-07-17 19:06:22 Regression analysis Econometrics JT Bellman equation Normal distribution XT Optimal design Loss function Statistics Statistical theory Dynamic programming
109	Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S.∗ Timothy Cogley Arizona State University Thomas J. Sargent New York University and Hoover Institution Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:46 Time series analysis Stochastic volatility Variance Loss function Volatility Markov chain Economic model Unit root Prior probability Statistics Econometrics Mathematical finance
110	Monetary Policy Under Uncertainty and Learning Add to Reading List Source URL: larseosvensson.se Language: English - Date: 2013-07-17 18:49:46 Dynamic programming Equations Control theory Bellman equation Optimal design Loss function Macroeconomic model Statistics Statistical theory Mathematical optimization