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Loss function
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#	Item
61	Energetic Natural Gradient Descent Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-26 17:40:03 Estimation theory Statistical theory Parametric model Loss function Fisher information Expectationmaximization algorithm Divergence Likelihood function Gradient descent
62	Motor Primitive Discovery Philip S. Thomas Andrew G. Barto Department of Computer Science Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-16 15:49:34 Belief revision Reinforcement learning Geometric primitive Markov decision process Artificial neural network Motor control Line Loss function Machine learning
63	JMLR: Workshop and Conference Proceedings vol 40:1–36, 2015 Truthful Linear Regression Rachel Cummings RACHELC @ CALTECH . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Econometrics Statistical theory Regression analysis Estimation theory Linear regression Bias of an estimator Loss function Privacy
64	Microsoft Word - IERC 2003 _Optimum Target-Quadratic Loss Function_.doc Add to Reading List Source URL: ws2.binghamton.edu Language: English - Date: 2004-09-18 15:31:19
65	Efficient Learning of Linear Separators under Bounded Noise Pranjal Awasthi PAWASHTI @ CS . PRINCETON . EDU Princeton University Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Machine learning Statistics Loss function Statistical theory Learning Supervised learning Probability distributions Statistical classification Coding theory
66	Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:52 Markov models Relational model Machine learning Probability distribution Bayesian network Reinforcement learning Relational data mining Loss function
67	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2005-10-29 19:46:54 Machine learning Learning Artificial intelligence Statistics Support vector machine Kernel method Statistical classification Positive-definite kernel Empirical risk minimization Loss function Statistical learning theory Bayes estimator
68	JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015 Optimum Statistical Estimation with Strategic Data Sources Yang Cai∗ CAI @ CS . MCGILL . CA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Statistics Estimation theory Econometrics Regression analysis Statistical theory Least squares Linear regression Polynomial regression Loss function Kernel regression Efficiency Mean squared error
69	Sample Complexity of Composite Likelihood Joseph K. Bradley Carlos Guestrin Carnegie Mellon University Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2012-04-11 16:43:47 Statistics Estimation theory Statistical theory Maximum likelihood estimation Efficient estimator Estimator Likelihood function Normal distribution Loss function Consistent estimator
70	BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un Add to Reading List Source URL: www.algo.uni-konstanz.de Language: English - Date: 2015-07-15 09:56:07 Algebra Mathematics Information science Linear algebra Matrix theory Recommender systems Statistical theory Collaborative filtering Machine learning Loss function Singular value decomposition Artificial neural network

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