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Mixture theory
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#	Item
271	4. Expectation-Maximisation University of Cambridge Engineering Part IIB Module 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-10-22 09:24:19 Bayesian statistics Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Likelihood function Kullback–Leibler divergence Mixture model Dimensional analysis Statistics Estimation theory Statistical theory
272	11. Non-Parameteric Techniques University of Cambridge Engineering Part IIB Paper 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-12-10 08:35:45 Density estimation Normal distribution Histogram Mixture model Estimation theory K-nearest neighbor algorithm Statistics Non-parametric statistics Kernel density estimation
273	Engineering Part IIB: Module 4F10 Statistical Pattern Processing 2 University of Cambridge Engineering Part IIB Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-03-19 08:01:29 Expectation–maximization algorithm Likelihood function Mixture model Dimensional analysis Generalized method of moments Statistics Estimation theory Maximum likelihood
274	Zucchini, Schmidt35(2) and vonresearch Gadow articles Silva Fennica Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 06:57:55 Statistical theory Statistical models Probability distributions Multivariate normal distribution Normal distribution Errors and residuals in statistics Mixture model Joint probability distribution Mixture distribution Statistics Estimation theory Regression analysis
275	Identifiability and Unmixing of Latent Parse Trees Daniel Hsu Microsoft Research Sham M. Kakade Microsoft Research Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:37:13 Identifiability Mixture model Expectation–maximization algorithm Dimensional analysis Statistics Estimation theory Statistical models
276	Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:20 Graphical models Bayesian statistics Networks Bayesian network Directed acyclic graph Mixture model Latent variable Expectation–maximization algorithm Independent component analysis Statistics Statistical models Estimation theory
277	Cognition[removed]–16 Contents lists available at ScienceDirect Cognition journal homepage: www.elsevier.com/locate/COGNIT Add to Reading List Source URL: ruccs.rutgers.edu Language: English - Date: 2014-06-26 14:22:55 Regularization Variance Economic model Mixture model Estimation theory F-test Overfitting Model Supervised learning Statistics Machine learning Concept learning
278	Unsupervised Domain Relevance Estimation for Word Sense Disambiguation Alfio Gliozzo and Bernardo Magnini and Carlo Strapparava ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, I[removed]Trento, ITALY {gliozzo, Add to Reading List Source URL: wndomains.fbk.eu Language: English - Date: 2006-12-18 06:13:58 Statistics Semantics Natural language processing Estimation theory Word-sense disambiguation WordNet SemEval Mixture model Expectation–maximization algorithm Science Linguistics Computational linguistics
279	Multiple Source Adaptation and the R´enyi Divergence Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:32 Kullback–Leibler divergence Statistical theory Thermodynamics Closed and exact differential forms Multivariate normal distribution Divergence Mixture distribution Distribution Vector space Algebra Mathematics Statistics
280	February 20, 2014 Time: 10:27am chapter1.tex Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2014-04-07 17:17:34 Probability distributions Bayesian statistics Mixture distribution Mixture model Normal distribution Likelihood function Maximum likelihood Multivariate normal distribution Bimodal distribution Statistics Probability and statistics Estimation theory

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