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Loss function
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#	Item
191	CS 195-5: Machine Learning Problem Set 1 Douglas Lanman [removed] 27 September 2006 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-09-25 22:53:18 Estimation theory Least squares Statistical theory Linear least squares Linear regression Polynomial regression Maximum likelihood Loss function Statistics Regression analysis Econometrics
192	Journal of Machine Learning Research[removed]Submitted 4/00; Published[removed]Model Selection: Beyond the Bayesian/Frequentist Divide Isabelle Guyon Add to Reading List Source URL: www2.mta.ac.il Language: English - Date: 2009-12-11 08:50:58 Statistical theory Model selection Estimation theory Bayes factor Loss function Maximum likelihood Regularization Supervised learning Conjugate prior Statistics Machine learning Bayesian statistics
193	Designing a Simple Loss Function for the Fed: Does the Dual Mandate Make Sense? Add to Reading List Source URL: www.bostonfed.org Language: English - Date: 2015-04-02 14:13:07 Macroeconomic policy Monetary policy Public finance Economic model Productivity Inflation Macroeconomics Economics New Keynesian economics
194	Statistics 582, Problem Set 4 Solutions Wellner; [removed]Consider Example 1.3 as given on page 4 of the Chapter 5 notes. (a) Consider calculation of the Bayes rule for the prior λ1 = λ, λ2 = 1 − λ with λ ∈ [ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-05 18:34:46 Bayes estimator Bayesian inference Conjugate prior Gamma distribution Maximum likelihood Loss function Symbol Parametric model Statistics Statistical theory Estimation theory
195	Injury Management - A Case Study Osteonecrosis. Death of a bone due to a loss of blood flow, oxygen, and nutrients. It equals a loss of function, a loss of muscle tissue and overall motion impairment. It sounds awful, an Add to Reading List Source URL: webpages.charter.net Language: English - Date: 2006-07-02 15:54:02 Bowling Pain Leisure Human behavior Mind
196	6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Bayesian statistics Econometrics Bayesian inference Maximum likelihood Loss function Likelihood function Marginal likelihood Normal distribution Bayesian information criterion Statistics Estimation theory Statistical theory
197	Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss Krzysztof Dembczy´ nski1,3 , Willem Waegeman2 , 1 Add to Reading List Source URL: www.uni-marburg.de Language: English - Date: 2010-09-13 19:41:43 Decision theory Marginal distribution Loss function Independence Conditional probability distribution Probability theory Statistics Probability and statistics
198	CS 195-5: Machine Learning Problem Set 2 Douglas Lanman [removed] 11 October 2006 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-10-11 00:08:45 Bayes estimator Parametric model Loss function Estimator Likelihood function Maximum likelihood Fisher information Statistics Estimation theory Statistical theory
199	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain∗ Ambuj Tewari† Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:04 Regression analysis Mathematical optimization Statistical theory Thresholding Linear regression Loss function Convex optimization Least squares M-estimator Statistics Econometrics Estimation theory
200	The ABC of Model Selection: AIC, BIC and the New CIC Carlos C. Rodríguez Department of Mathematics and Statistics The University at Albany, SUNY Albany, NY Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:53:29 Estimation theory Akaike information criterion Bayesian statistics Bayesian information criterion Fisher information Loss function Parametric model Principle of maximum entropy Statistics Statistical theory Model selection

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