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Expectation–maximization algorithm
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81	SEQUENTIAL MONTE CARLO RADIO-FREQUENCY TOMOGRAPHIC TRACKING Yunpeng Li† , Xi Chen?1 , Mark Coates? and Bo Yang† † Multimedia Technology Center, Beijing Univ. of Posts and Telecom., Beijing, China Dept. of Electrica Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2011-04-11 16:04:20 Computational statistics Medical imaging Expectation–maximization algorithm Missing data Particle filter Iterative reconstruction Kalman filter Statistics Estimation theory Robot control
82	PDF Document Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-03-20 19:18:22 Graphical models Statistical models Bayesian statistics Conditional random field Theoretical computer science Information extraction Expectation–maximization algorithm Bayesian network Pattern recognition Statistics Machine learning Probability and statistics
83	PDF Document Add to Reading List Source URL: www.taos-telecommunity.org Language: English - Date: 2008-03-04 16:18:06 Statistical classification Naive Bayes classifier Machine learning Influence diagram Deviance information criterion Gibbs sampling Expectation–maximization algorithm Bayesian information criterion Book:Machine Learning - The Complete Guide Statistics Bayesian statistics Bayesian network
84	A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-20 12:49:52 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Topic model Expectation–maximization algorithm Mixture model Dirichlet process Dirichlet distribution Statistics Statistical natural language processing Bayesian statistics
85	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics
86	➠ ➡ SPECTRAL CONVERSION BASED ON MAXIMUM LIKELIHOOD ESTIMATION CONSIDERING GLOBAL VARIANCE OF CONVERTED PARAMETER Tomoki Toda†‡ , Alan W Black† , Keiichi Tokuda‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-02-24 15:57:00 Generalized method of moments Mixture model Variance Normal distribution Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
87	Mining the Web With Active Hidden Markov Models Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:12:44 Probability and statistics Hidden Markov model Maximum-entropy Markov model Speech recognition Forward–backward algorithm Markov chain Baum–Welch algorithm Expectation–maximization algorithm Algorithm Markov models Statistics Machine learning
88	A Probabilistic Model for Learning Multi-Prototype Word Embeddings Fei Tian† , Hanjun Dai∗ , Jiang Bian‡ , Bin Gao‡ , Rui Zhang? , Enhong Chen† , Tie-Yan Liu‡ † University of Science and Technology of China Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:19 Information retrieval Cluster analysis Machine learning Mixture model Embedding Vector space model Expectation–maximization algorithm Statistics Mathematics Probability and statistics
89	Maximum Likelihood Estimation & Gamma-ray Spectral Analysis David C. Y. Hui Department of Astronomy & Space Science Chungnam National University Add to Reading List Source URL: www.physics.hku.hk Language: English - Date: 2010-06-23 23:34:06 Bayesian statistics Maximum likelihood Likelihood function One-shot learning Expectation–maximization algorithm Estimation theory Statistics Statistical theory
90	Multi-View Super Vector for Action Recognition Zhuowei Cai1 , Limin Wang1,2 , Xiaojiang Peng1 , Yu Qiao1,2∗ 1 Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, CAS Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2014-05-18 15:54:05 Multivariate statistics Vector calculus Singular value decomposition Estimation theory Expectation–maximization algorithm Missing data Principal component analysis Mixture model Eigenvalues and eigenvectors Statistics Algebra Mathematics

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