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Expectation
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#	Item
621	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
622	29 May[removed]Mahalo Project (ATP337P) - Pilot Operations Update  Mahalo gas production steadily increasing with expectation of continued improvement  Initial gas flows achieved at Mira following recommencement of d Add to Reading List Source URL: www.cometridge.com.au Language: English - Date: 2014-05-29 02:31:17 Coalbed methane De Havilland Comet Hydrocarbon exploration Comet Petroleum reservoir Energy Geography of Australia Geology of Australia Bowen Basin Geology of Queensland
623	Note: Because Type 1 font programs were originally produced and were carefully checked only within Adobe Systems, Type 1 BuildChar was designed with the expectation that only errorfree Type 1 font programs would be prese Add to Reading List Source URL: cansecwest.com Language: English - Date: 2013-03-19 04:58:41 Software Stuxnet Shellcode Windows NT 4.0 Microsoft Windows Cyberwarfare System software Duqu
624	Expectation-based Learning in Design Dan L. Grecu, David C. Brown Artificial Intelligence in Design Group Worcester Polytechnic Institute Worcester, MA Add to Reading List Source URL: idm-lab.org Language: English - Date: 2005-05-31 06:09:24 Law of agency Design Business Culture Structure Artificial intelligence Agency law Business law
625	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
626	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
627	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
628	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
629	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
630	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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