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Expectation
Results: 2405

#	Item
571	Improving Location Prediction Services for New Users with Probabilistic Latent Semantic Analysis James McInerney, Alex Rogers, Nicholas R. Jennings University of Southampton, Southampton, SO17 1BJ, UK {jem1c10,acr,nrj}@e Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2012-09-08 11:50:11 Information retrieval Markov models Markov chain Expectation–maximization algorithm Collaborative filtering Latent Dirichlet allocation Probabilistic latent semantic analysis Latent semantic analysis Dirichlet distribution Statistics Statistical natural language processing Estimation theory
572	The Expectation Maximization Algorithm Frank Dellaert College of Computing, Georgia Institute of Technology Technical Report number GIT-GVUFebruary 2002 Abstract Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-14 12:10:45 Maximum likelihood Likelihood function Fisher information Estimation theory Statistics Expectation–maximization algorithm
573	Probit Regression with Correlated Label Noise: An EM-EP approach Florian Wenzel Department of Computer Science HU Berlin, Germany Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2014-11-29 11:08:50 Normal distribution Data analysis Estimation theory Expectation–maximization algorithm Probit Multivariate normal distribution Logistic regression Statistics Regression analysis Econometrics
574	Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model Shaojun Wang1,2 , Shaomin Wang3 , Li Cheng4 , Russell Greiner2 , and Dale Schuurmans2 1 2 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-08-14 16:53:25 Missing data Statistical theory Statistics Estimation theory Expectation–maximization algorithm
575	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics
576	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Inference of Drivable Free-Space from Monocular Video Add to Reading List Source URL: www.merl.com Language: English - Date: 2015-03-09 15:37:51 Image processing Homography Projective geometry Transformation Robot control Segmentation Curve Expectation–maximization algorithm Dynamic programming Geometry Mathematics Computer vision
577	Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical models Monte Carlo methods Markov models Expectation–maximization algorithm Mixture model Gibbs sampling Conjugate prior Markov chain Monte Carlo Variational Bayesian methods Statistics Bayesian statistics Estimation theory
578	University of California, at Berkeley School of Law (Boalt Hall) Law, Geography and Cyberspace: The Case of Territorial Privacy* By: Daniel Benoliel Add to Reading List Source URL: cfp2004.org Language: English - Date: 2004-04-27 00:06:08** Privacy Tort law Human rights Internet privacy Trespass to chattels Expectation of privacy Whalen v. Roe Electronic Communications Privacy Act Personally identifiable information Law Privacy law Ethics
579	printed on:19th AugAdvanced Workshop on Non-equilibrium Bosons: From Driven Condensates to Non-Linear Optics Cosponsor(s): U.S. National Science Foundation & International Institute for Complex Adaptive Matter Org Add to Reading List Source URL: www.ictp.tv Language: English - Date: 2013-08-19 04:14:45 Phases of matter Bosons Quantum field theory Polariton Bose–Einstein condensate Exciton Photon Superfluid Vacuum expectation value Physics Condensed matter physics Quasiparticles
580	Semi-supervised Convex Training for Dependency Parsing Qin Iris Wang Department of Computing Science University of Alberta Edmonton, AB, Canada, T6G 2E8 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2008-05-15 19:50:05 Computational statistics Semi-supervised learning Word-sense disambiguation Pattern recognition Supervised learning Parsing Natural language processing Support vector machine Expectation–maximization algorithm Machine learning Statistics Artificial intelligence

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