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Mixture model
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321	Characterizing spot price dynamics in public cloud environments Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2013-02-08 00:03:11 Amazon.com Dot-com Money supply Bond duration Futures contract Cloud computing Mixture model Expectation–maximization algorithm Statistics Economics Pricing
322	On Learning Mixtures of Heavy-Tailed Distributions Anirban Dasgupta John Hopcroft Abstract Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-08-11 23:51:59 Multivariate statistics Generalized functions Data mining Mixture model Expectation–maximization algorithm Normal distribution Mixture distribution Distribution Statistics Machine learning Cluster analysis
323	Active matching for visual tracking Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2009-08-26 05:22:06 Artificial intelligence Vision Machine learning Mixed reality Tracking Video tracking Template matching Mixture model Match moving Computer vision Statistics Image processing
324	Statistical Models David M. Blei Columbia University October 14, 2014 We have discussed graphical models. Graphical models are a formalism for representing families of probability distributions. They are connected to ef Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical theory Bayesian inference Prior probability Maximum likelihood Normal distribution Maximum a posteriori estimation Expectation–maximization algorithm Mixture model Statistics Bayesian statistics Estimation theory
325	Convex Relaxations of Latent Variable Training Yuhong Guo and Dale Schuurmans Department of Computing Science University of Alberta {yuhong,dale}@cs.ualberta.ca Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2008-01-19 16:30:45 Estimation theory Operations research Linear programming Econometrics Expectation–maximization algorithm Convex optimization Maximum likelihood Mixture model Convex function Statistics Mathematical optimization Mathematical sciences
326	Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza and Sarvapali D. Ramchurn University of Southampton, UK. {nct1g10, jem1c10, ltt08r, Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2013-04-23 11:55:32 Smart grid Variational Bayesian methods Forecasting Mixture model Statistics Time series analysis Dirichlet process
327	MASTER OF TECHNOLOGY (M. TECH.) IN COMPUTER SCIENCE 1 SCOPE The Master of Technology in Computer Science course is offered in Kolkata. The course is designed to provide a balanced mixture of theoretical and professional Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2012-07-17 06:35:27 Data structure Programming language Ada Search engine indexing The Art of Computer Programming Finite-state machine Actor model Addison-Wesley Queue Computing Software engineering Information science
328	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests Nemanja Djuric† , Mihajlo Grbovic† , Vladan Radosavljevic† , Narayan Bhamidipati† , Slobodan Vucetic‡ † Yahoo! Labs, Sunnyvale, Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-04-21 22:39:54 Machine learning Human–computer interaction Learning to rank Personalization Level of measurement Mixture model Support vector machine Statistics Information science Information retrieval
329	Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Topic model Dirichlet distribution Expectation–maximization algorithm Multinomial distribution N-gram Maximum likelihood Statistics Probability and statistics Statistical natural language processing
330	Online Estimation of B-Spline Mixture Models From TOF-PET List-Mode Data Colas Schretter, Jianyong Sun and Leif Kobbelt Abstract—In emission tomography, images are usually represented by regular grids of voxels or over Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2011-02-23 10:40:01 Cluster analysis Splines Machine learning Mixture model Expectation–maximization algorithm Gaussian function Normal distribution Multivariate normal distribution Iterative reconstruction Statistics Probability and statistics Estimation theory

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