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Expectation
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#	Item
671	Connections between the Lines: Augmenting Social Networks with Text Jonathan Chang Jordan Boyd-Graber Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Science Machine learning Entity-relationship model Topic model Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood N-gram Statistics Statistical natural language processing Estimation theory
672	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
673	ATTENDANCE It is an expectation of our society that we keep appointments and arrive punctually. Alternatively apologies are warranted, preferably in advance if such appointments cannot be met. The Student Enrolment Agree Add to Reading List Source URL: johntonkincollege.wa.edu.au Language: English - Date: 2012-08-14 06:48:36 Lesson Teacher Teaching Education Learning
674	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
675	PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONE Karen R. Marutyan, PhD∗ , Christian C. Anderson, MA† , Keith A. Wear PhD∗∗ , Mark R. Holland, PhD† , James G. Miller, PhD† and G. Larry Brett Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-04-28 12:02:53 Statistical inference Bayesian probability Philosophy of mathematics Philosophy of science Bayesian inference Inverse probability Markov chain Probability Expectation–maximization algorithm Statistics Bayesian statistics Probability interpretations
676	doi:[removed]j.cviu[removed] Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:50:38 Hidden Markov model Segmentation Cluster analysis Markov chain Region growing Expectation–maximization algorithm Entropy Layered hidden Markov model Statistics Markov models Image processing
677	Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-06 20:36:09 Markov models Expectation–maximization algorithm Missing data Statistical theory Hidden Markov model Variational Bayesian methods Markov chain Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Estimation theory
678	EN 257: Applied Stochastic Processes Problem Set 5 Douglas Lanman [removed] 13 April 2007 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2007-04-16 16:55:49 Probability and statistics Normal distribution Independence Conditional expectation Variance Convergence of random variables Expected value Probability-generating function Z-transform Probability theory Statistics Mathematical analysis
679	2010 International Conference on Pattern Recognition Biclustering of expression microarray data with topic models Manuele Bicego∗† , Pietro Lovato∗ , Alberto Ferrarini∗ Massimo Delledonne∗ ∗ University of Ve Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Microarrays Molecular biology Bioinformatics Gene expression Statistical natural language processing Probabilistic latent semantic analysis Gene expression profiling DNA microarray Expectation–maximization algorithm Statistics Biology Science
680	6.867 Machine learning, lecture 15 (Jaakkola) 1 Lecture topics: • Diﬀerent types of mixture models (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical models Cluster analysis Expectation–maximization algorithm Missing data Mixture model Likelihood function Statistics Estimation theory Bayesian statistics

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