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Estimation of distribution algorithm
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#	Item
31	Probabilistic Estimates of Attribute Statistics and Match Likelihood for People Entity Resolution Xin Wang, Ang Sun, Hakan Kardes, Siddharth Agrawal, Lin Chen, Andrew Borthwick Data Research Intelius Inc Bellevue, WA Add to Reading List Source URL: bighumanities.files.wordpress.com Language: English - Date: 2014-10-26 22:40:55 Record linkage Expectation–maximization algorithm ALGOL 68 Likelihood function Genetic linkage Pareto distribution Statistics Estimation theory Maximum likelihood
32	Shape Constraints in Empirical Bayes Inference Mu Lin1 and Ivan Mizera1,2,3 of Mathematical and Statistical Sciences University of Alberta, Edmonton, Alberta, Canada T6G 2G1 2 Corresponding author: Ivan Mizera, e-mail: i Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Maximum likelihood Bayes estimator Expectation–maximization algorithm Mixture model Normal distribution Quasiconvex function Estimator Statistics Estimation theory Empirical Bayes method
33	Journal of Machine Learning Research1928 Submitted 5/10; Revised 1/14; Published 6/14 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-07-08 13:46:46 Missing data Regression analysis Data analysis Expectation–maximization algorithm Normal distribution Multivariate normal distribution Maximum likelihood Linear regression Imputation Statistics Estimation theory Econometrics
34	Phase type distributions for competing risks Bo Henry Lindqvist* Norwegian University of Science and Technology, Trondheim, Norway Phase-type distributions represent the time to absorption for a finite st Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Markov chain Phase-type distribution Expectation–maximization algorithm Estimation theory Stochastic matrix Monte Carlo method Discrete phase-type distribution Statistics Markov models Probability and statistics
35	Image Segmentation using a Genetic Algorithm and Hierarchical Local Search Mark W. Hauschild, Sanjiv Bhatia, and Martin Pelikan Missouri Estimation of Distribution Algorithms Laboratory (MEDAL) Department of Mathematics Add to Reading List Source URL: medal-lab.org Language: English - Date: 2012-07-11 14:50:16 Segmentation Estimation of distribution algorithm Science Memory segmentation Image segment Genetic algorithm Potts model Image processing Physics Applied mathematics
36	Bayesian Estimation of Sparse Smooth Speckle Shape Models for Motion Tracking in Medical Ultrasound Shaun Bundervoet, Colas Schretter, Ann Dooms and Peter Schelkens Vrije Universiteit Brussel, Dept. of Electronics and In Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:12 Econometrics Expectation–maximization algorithm Missing data Gaussian function Mixture model Autoregressive conditional heteroskedasticity Speckle tracking echocardiography Maximum likelihood Multivariate normal distribution Statistics Estimation theory Statistical models
37	Probabilistic Model-Building Genetic Algorithms a.k.a. Estimation of Distribution Algorithms a.k.a. Iterated Density Estimation Algorithms Martin Pelikan Add to Reading List Source URL: medal-lab.org Language: English - Date: 2012-07-08 09:24:13 Applied mathematics Artificial intelligence Mathematics Mathematical optimization Search algorithms Genetic algorithm Machine learning Simulated annealing Cybernetics Estimation of distribution algorithm Evolutionary computation
38	Martin Pelikan, Ph.D. Missouri Estimation of Distribution Algorithms Laboratory (MEDAL) Department of Mathematics and Computer Science University of Missouri–St. Louis, ESH 320 One University Blvd., St. Louis, MO 63121 Add to Reading List Source URL: martinpelikan.net Language: English - Date: 2012-08-26 23:19:10 Evolutionary computation Mathematical optimization Science Artificial intelligence Estimation of distribution algorithm Genetic programming Genetic algorithm IEEE Congress on Evolutionary Computation Association for Computing Machinery Cybernetics Applied mathematics Evolutionary algorithms
39	Variational Bayesian Image Modelling Li Cheng Department of Computing Science, University of Alberta, Canada Feng Jiao School of Computer Science, University of Waterloo, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:56:00 Model selection Estimation theory Statistical theory Expectation–maximization algorithm Gamma distribution Variational Bayesian methods Bayesian information criterion Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Bayesian inference
40	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