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Expectation
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#	Item
341	FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS Heng Lu, Simon King The Centre for Speech Technology Research, The University of Edinburgh, UK , ABSTRACT Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-04-25 21:11:16 Bayesian statistics Markov models Computational linguistics Graphical models Hidden Markov model Bayesian network Speech recognition Mixture model Expectation–maximization algorithm Statistics Statistical models Probability and statistics
342	The European & Coaching Council (EMCC) exists to develop, promote and set the expectation of best practice in mentoring and coaching across Europe and beyond, for the benefit of society. Add to Reading List Source URL: www.emccouncil.org Language: English - Date: 2013-03-28 01:39:00 European Competitive Telecommunications Association Coaching Luxembourg Political geography Europe International relations
343	The Hon. Mike McGuire California State Senate Capitol Building, Room 5064 Sacramento, CAApril 20, 2015 Add to Reading List Source URL: www.consumerwatchdog.org Language: English - Date: 2015-04-20 15:48:07 Internet privacy Information privacy Surveillance Expectation of privacy Consumer Watchdog Privacy policy Privacy Ethics Security
344	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-02-25 18:37:19 Data analysis Probability theory Expectation–maximization algorithm Variance Statistics Estimation theory Central limit theorem
345	Similarity-Based Alignment and Generalization Daniel Oblinger, Vittorio Castelli, Tessa Lau, and Lawrence D. Bergman IBM T.J. Watson Research, New York oblio,vittorio,tessalau, Abstract. We present a Add to Reading List Source URL: tlau.org Language: English - Date: 2005-11-29 11:04:24 Machine learning Computational statistics Computational phylogenetics Hidden Markov model Sequence alignment Algorithm Baum–Welch algorithm Markov chain Expectation–maximization algorithm Markov models Statistics Bioinformatics
346	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models
347	Multi-View Clustering via Canonical Correlation Analysis Kamalika Chaudhuri ITA, UC San Diego, 9500 Gilman Drive, La Jolla, CA Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:48 Machine learning Cluster analysis Data mining K-means clustering Principal component analysis Hierarchical clustering Expectation–maximization algorithm Mixture model Singular value decomposition Statistics Multivariate statistics Data analysis
348	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-11-29 12:55:06 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
349	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-24 20:30:41 Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification
350	828 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 25, NO. 7, JULY 2006 Modeling and Incorporation of System Response Functions in 3-D Whole Body PET Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2006-11-20 16:57:49 Iterative reconstruction Image processing Ordered subset expectation maximization Optics Positron emission tomography X-ray computed tomography Point spread function Medicine Medical imaging Medical physics

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