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Expectation–maximization algorithm
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251	PARTICLE FILTER BASED SOFT-MASK ESTIMATION FOR MISSING FEATURE RECONSTRUCTION Friedrich Faubel, Humza Raja, John McDonough, Dietrich Klakow Spoken Language Systems, Saarland University, D66123 Saarbr¨ucken, Germany {fri Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-12 13:23:16 Expectation–maximization algorithm Mixture model Noise Particle filter Statistics Estimation theory Maximum likelihood
252	Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction Valentin I. Spitkovsky Hiyan Alshawi Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-10-31 12:54:44 Computational linguistics Markov models Estimation theory Expectation–maximization algorithm Missing data Word-sense disambiguation Parse tree Random walk Parsing Statistics Linguistics Science
253	CS-TR-4956 UMIACS-TRLAMP-TR-153 June 2010 Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-01-03 11:18:10 Monte Carlo methods Markov models Markov chain Monte Carlo Estimation theory Markov chain Expectation–maximization algorithm Gibbs sampling Importance sampling Bayesian inference Statistics Probability and statistics Bayesian statistics
254	Probability Models for Customer-Base Analysis Peter S. Fader University of Pennsylvania www.petefader.com Add to Reading List Source URL: www.brucehardie.com Language: English - Date: 2007-03-11 14:55:14 Maximum likelihood Likelihood function Extremum estimator Expectation–maximization algorithm Estimation theory Statistics Statistical theory
255	Semi-Supervised Sequence Classification Using Abstraction Augmented Markov Models∗ Cornelia Caragea Adrian Silvescu Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-12-26 08:55:35 Artificial intelligence Semi-supervised learning Co-training Supervised learning Unsupervised learning Tree Expectation–maximization algorithm Support vector machine Word-sense disambiguation Machine learning Statistics Computational statistics
256	Learning Outbreak Regions in Bayesian Spatial Scan Statistics Maxim Makatchev Daniel B. Neill Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PAUSA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-07-12 16:33:56 Missing data Empirical Bayes method Machine learning Data analysis Computer vision Statistics Estimation theory Expectation–maximization algorithm
257	11th International Society for Music Information Retrieval Conference (ISMIRIDENTIFYING REPEATED PATTERNS IN MUSIC USING SPARSE CONVOLUTIVE NON-NEGATIVE MATRIX FACTORIZATION Ron J. Weiss and Juan Pablo Bello Musi Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:20 Matrix theory Multivariate statistics Numerical linear algebra Non-negative matrix factorization Markov models Expectation–maximization algorithm Matrix decomposition Hidden Markov model Segmentation Algebra Mathematics Linear algebra
258	A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-10-31 15:01:14 Boltzmann machine Backpropagation Generative model Artificial neuron Independent component analysis Diffusion networks Gibbs sampling Pattern recognition Expectation–maximization algorithm Neural networks Statistics Machine learning
259	Solid Earth, 5, 631–639, 2014 www.solid-earth.netdoi:se © Author(sCC Attribution 3.0 License. Modelling complex geological circular data with the projected Add to Reading List Source URL: www.solid-earth.net Language: English - Date: 2014-12-05 06:37:25 Statistical theory Statistical models Bayesian statistics Von Mises distribution Von Mises–Fisher distribution Maximum likelihood Mixture model Expectation–maximization algorithm Deviance information criterion Statistics Directional statistics Estimation theory
260	Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang Google Inc. Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-12 20:45:50 Theoretical computer science Estimation theory Extractor Pseudorandomness Expectation–maximization algorithm Statistics Applied mathematics Mathematics

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