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Estimation of distribution algorithm
Results: 142

#	Item
41	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
42	1 The Latent Maximum Entropy Principle 2 3 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:25:18 Information theory Estimation theory Bayesian statistics Randomness Expectation–maximization algorithm Principle of maximum entropy Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Probability and statistics Statistical theory
43	Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {whitem,junfeng.wen,mbowli Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-01-15 16:29:05 Time series analysis Econometrics Autoregressive–moving-average model Noise Autoregressive conditional heteroskedasticity Expectation–maximization algorithm Maximum likelihood Kalman filter Normal distribution Statistics Statistical theory Estimation theory
44	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
45	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
46	Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2013-10-07 23:53:16 Machine learning Conjugate prior Semi-supervised learning Maximum likelihood Expectation–maximization algorithm Normal distribution Multivariate normal distribution Variance Statistics Estimation theory AERONET
47	Bayesian inference for hedge funds with stable distribution of returns by Biliana Güner, Svetlozar T. Rachev, Daniel Edelman, Frank J. Fabozzi Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2010-09-30 12:18:22 Statistical theory Statistical inference Bayesian inference Autoregressive conditional heteroskedasticity Prior probability Exponential distribution Expectation–maximization algorithm Stable distribution Gamma distribution Statistics Bayesian statistics Estimation theory
48	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Series Modeling Yan Liu, Mohammad Taha Bahadori {yanliu.cs, }@usc.edu Computer Science Department, University of Southern Californ Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:14 Actuarial science Statistical dependence Multivariate statistics Expectation–maximization algorithm Copula Generalized extreme value distribution Normal distribution Linear regression Causality Statistics Econometrics Estimation theory
49	LETTER Communicated by Michael Lewicki Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2006-10-05 18:40:25 Probability Statistical models Machine learning Estimation theory Normal distribution Generative model Expectation–maximization algorithm Filter Mixture model Statistics Probability and statistics Filter theory
50	c Copyright by Martin Pelikan, 2002 BAYESIAN OPTIMIZATION ALGORITHM: FROM SINGLE LEVEL TO HIERARCHY Add to Reading List Source URL: medal-lab.org Language: English - Date: 2012-03-05 12:05:32 Mathematical optimization Estimation of distribution algorithm Genetic algorithm Algorithm David E. Goldberg Theoretical computer science Applied mathematics Mathematics Evolutionary computation