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Expectation–maximization algorithm
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#	Item
471	Learning for Stereo Vision Using the Structured Support Vector Machine Yunpeng Li Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-04-04 16:14:59 Statistical inference Statistical classification Statistical models Loss function Parametric model Maximum likelihood Support vector machine Expectation–maximization algorithm Supervised learning Statistics Statistical theory Estimation theory
472	On the Design and Quantification of Privacy Preserving Data Mining Algorithms Dakshi Agrawal Charu C. Aggarwal Add to Reading List Source URL: www.charuaggarwal.net Language: English - Date: 2006-11-17 15:35:44 Statistical theory Expectation–maximization algorithm Missing data Normal distribution Mutual information Logarithm Entropy Maximum likelihood Variational Bayesian methods Statistics Estimation theory Information theory
473	Int J Comput Vis DOI[removed]s11263[removed]Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words Juan Carlos Niebles · Hongcheng Wang · Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:56:28 Latent Dirichlet allocation Probabilistic latent semantic analysis Topic model Expectation–maximization algorithm Causality Object categorization from image search Statistics Statistical natural language processing Machine learning
474	Fully Automatic Variational Inference of Differentiable Probability Models Rajesh Ranganath Department of Computer Science Princeton University Add to Reading List Source URL: andrewgelman.com Language: English - Date: 2014-12-21 20:40:21 Econometrics Estimation theory Variational Bayesian methods Bayesian linear regression Multivariate normal distribution Linear regression Mathematical optimization Expectation–maximization algorithm Variational message passing Statistics Bayesian statistics Regression analysis
475	Evidence-Specific Structures for Rich Tractable CRFs Carlos Guestrin Carnegie Mellon University [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2010-12-02 01:46:24 Mathematics Machine learning Theoretical computer science Statistical models Networks Conditional random field Tree decomposition Bayesian network Expectation–maximization algorithm Statistics Graphical models Graph theory
476	Learning a Part-of-Speech Tagger from Minimal Annotation ! ! Dan Garrette Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2015-01-12 20:53:04 Missing data EM Computational linguistics Natural language processing Statistics Estimation theory Expectation–maximization algorithm
477	Ecient Probabilistic Inference with Partial Ranking Queries Jonathan Huang Ashish Kapoor Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-07-14 10:29:53 Missing data Model theory Statistics Estimation theory Expectation–maximization algorithm
478	Hilbert Space Embeddings of Hidden Markov Models Le Song [removed] Byron Boots [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-07-19 22:00:19 Linear algebra Markov models Operator theory Bioinformatics Hidden Markov model Normal distribution Expectation–maximization algorithm Kernel density estimation Singular value decomposition Mathematics Mathematical analysis Algebra
479	Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2014-10-23 05:45:11 Bayes factor Bayesian inference Normal distribution Parameter Expectation–maximization algorithm Maximum likelihood Statistics Statistical theory Parametric model
480	Microsoft PowerPoint - gauss-dominance2.ppt Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2009-12-03 06:48:00 Normal distribution Probability theory Fourier analysis Multivariate normal distribution Random variable Central limit theorem Gaussian function Convolution Expectation–maximization algorithm Mathematical analysis Statistics Mathematics

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