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Model selection
Results: 1077

#	Item
211	The Future of Indirect Evidence Bradley Efron Stanford University What is Statistics? • The theory of learning from experience Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2009-09-15 13:00:41 Empirical Bayes method Bayes estimator Prior probability Bradley Efron Model selection Statistics Bayesian statistics Bayesian inference
212	cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity" - - - William of Ockham, ca 1330 We have seen in some detail how to conduct inferences { test hypotheses, estimate paramete Add to Reading List Source URL: www-biba.inrialpes.fr Language: English - Date: 2004-03-11 14:49:07 Estimation theory Statistical inference Model selection Maximum likelihood Likelihood function Bayesian inference Principle of maximum entropy Likelihood principle Prior probability Statistics Bayesian statistics Statistical theory
213	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
214	Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Stochastic optimization Statistical classification CMA-ES Computational statistics Cross-validation Support vector machine Mathematical optimization Supervised learning Stability Statistics Machine learning Evolutionary algorithms
215	CS229 Lecture notes Andrew Ng Part VI Regularization and model Add to Reading List Source URL: see.stanford.edu Language: English - Date: 2007-12-11 16:41:19 Estimation theory Model selection Information theory Maximum likelihood Supervised learning Feature selection Kullback–Leibler divergence Regularization Mutual information Statistics Statistical theory Machine learning
216	Semantic crowds Nick Kraayenbrink∗, Jassin Kessing, Tim Tutenel, Gerwin de Haan, Rafael Bidarra∗∗ Computer Graphics and Visualization Group, Delft University of Technology, Delft, The Netherlands Abstract Recent ad Add to Reading List Source URL: graphics.tudelft.nl Language: English - Date: 2013-12-09 09:02:55 Intelligent agent Agent-based model Ethology Action selection Crowd simulation Computing Software agent Artificial intelligence Multi-agent systems Science
217	Feature Selection using Multiple Streams Paramveer S. Dhillon Computer and Information Science University of Pennsylvania Philadelphia, PA, U.S.A Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2010-10-01 23:38:39 Model selection Dimension reduction Feature selection Support vector machine Stepwise regression Regularization Supervised learning Gmax Lasso Statistics Regression analysis Machine learning
218	Artificial Intelligence ELSEVIER Artificial Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2010-10-25 23:26:18 Machine learning Information science Dimension reduction Feature selection Model selection Supervised learning Pattern recognition Relevance Algorithm Science Statistics Knowledge
219	SPATIALLY ADAPTIVE SUPPORT AS A LEADING MODEL-SELECTION TOOL FOR IMAGE FILTERING Vladimir Katkovnik, Alessandro Foi, Kostadin Dabov, and Karen Egiazarian Department of Signal Processing, Tampere University of Technology Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2008-08-08 04:49:00 Estimation theory Image denoising Normal distribution Continuous function Statistics Mathematical analysis Adaptive estimator
220	Productivity and Firm Selection: Quantifying the “New” Gains from Trade.∗ Gregory Corcos, Massimo Del Gatto, Giordano Mion, and Gianmarco I.P. Ottaviano This paper replaces for all publication purposes the two manu Add to Reading List Source URL: gregory.corcos.free.fr Language: English - Date: 2011-05-04 08:42:34 Competition Game theory International trade Oligopoly Macroeconomics Computable general equilibrium Heckscher–Ohlin model Labour economics Perfect competition Economics Business Logic

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