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Expectation–maximization algorithm
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11	Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-09 01:39:03 Cluster analysis Data analysis Estimation theory Expectation–maximization algorithm Dirichlet process Variational Bayesian methods Mixture model Principal component analysis Kernel principal component analysis Statistics Multivariate statistics Machine learning
12	Preliminary and Incomplete Risk and Robustness in General Equilibrium Evan W. Anderson Lars Peter Hansen and Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:55 Statistical theory Markov models Information theory Markov chain Entropy Kullback–Leibler divergence Expectation–maximization algorithm Statistics Markov processes Probability and statistics
13	Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling Machine Learning Group, University of Amsterdam Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-05-14 15:18:52 Statistical models Statistical theory Statistical inference Expectation–maximization algorithm Bayesian network Gibbs sampling Normal distribution Maximum likelihood Latent variable Statistics Bayesian statistics Estimation theory
14	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 Statistical theory Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Fisher information Variational Bayesian methods Marginal likelihood Mixture model Statistics Estimation theory Bayesian statistics
15	I/O-Efficient Construction of Constrained Delaunay Triangulations Pankaj K. Agarwal1? , Lars Arge2,1?? , and Ke Yi1? ? ? 1 Department of Computer Science, Duke University, Durham, NC 27708, USA. Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2011-04-05 22:51:13 Delaunay triangulation Point location Expectation–maximization algorithm Voronoi diagram Algorithm Jump-and-Walk algorithm Pitteway triangulation Triangulation Mathematics Geometry
16	Probabilistic Classification of Image Regions using Unsupervised and Supervised Learning Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:42 Pattern recognition Segmentation Mixture model Minimum description length Generative model Unsupervised learning Expectation–maximization algorithm Statistical classification Supervised learning Statistics Machine learning Cluster analysis
17	Predicting Simulation Parameters of Biological Systems using a Gaussian Process Model Xiangxin Zhu, Max Welling Fang Jin, John Lowengrub Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 21:23:55 Statistical theory Statistical models Normal distribution Parametric model Regression analysis Gaussian process Expectation–maximization algorithm Maximum likelihood Statistics Estimation theory Econometrics
18	Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling @ics.uci.ed Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-11-27 13:08:31 Latent Dirichlet allocation Linear discriminant analysis Machine learning Parallel computing Algorithm Gibbs sampling Mixture model Speedup Expectation–maximization algorithm Statistics Statistical natural language processing Statistical classification
19	IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble) Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:37:31 Statistical models Markov models Statistical theory Mixture model Markov chain Parametric statistics Regression analysis Hidden Markov model Expectation–maximization algorithm Statistics Statistical inference Estimation theory
20	Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-06-25 05:58:01 Expectation–maximization algorithm Variational Bayesian methods Topic model Algorithm Gibbs sampling Natural language processing Dirichlet process Mathematical optimization Dynamic topic model Statistics Statistical natural language processing Latent Dirichlet allocation

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