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Mixture theory
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#	Item
241	Non-‐Gaussian Data Assimila0on using Mixture and Kernel Piyush Tagade Hansjorg Seybold Sai Ravela Add to Reading List Source URL: www.dddas.org Language: English - Date: 2014-06-10 20:51:17 Electronic engineering Bayesian statistics Estimation theory Monte Carlo methods Markov models Ensemble Kalman filter Kalman filter Statistics Linear filters Control theory
242	Multimodal Parameter-exploring Policy Gradients Frank Sehnke Technische Universit¨at M¨unchen Germany Alex Graves Add to Reading List Source URL: www6.in.tum.de Language: English - Date: 2013-05-15 08:23:49 Statistical theory Probability and statistics Dimensional analysis Measurement Econometrics Mixture model Parametric model Statistics Estimation theory Statistical models
243	Training Non-Parametric Features for Statistical Machine Translation Patrick Nguyen, Milind Mahajan and Xiaodong He Microsoft Corporation 1 Microsoft Way, Redmond, WA 98052 {panguyen,milindm,xiaohe}@microsoft.com Add to Reading List Source URL: www.statmt.org Language: English - Date: 2007-05-18 09:55:52 Estimation theory Machine learning Statistical models Econometrics Bayesian statistics Mixture model Empirical Bayes method Parameter Gaussian function Statistics Probability and statistics Mathematics
244	Package ‘cvxclustr’ July 28, 2014 Maintainer Eric C. Chi Author Eric C. Chi, Kenneth Lange Version 1.1.1 License CC BY-NC-SA 4.0 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-28 02:28:27 Matrix theory Singular value decomposition Multivariate statistics Data analysis Matrix K-means clustering Eigenvalues and eigenvectors Principal component analysis Mixture model Algebra Mathematics Linear algebra
245	O. BARNICH, S. J ODOGNE, and M. VAN D ROOGENBROECK. Robust analysis of silhouettes by morphological size distributions, volume 4179 of Lecture Notes on Computer Science, pages[removed]Springer Verlag, 2006. http://orbi. Add to Reading List Source URL: orbi.ulg.ac.be Language: English - Date: 2014-08-26 07:38:19 Cluster analysis Paper art Silhouette Algorithm Normal distribution Mixture model Expectation–maximization algorithm Information theory Statistics Probability and statistics Machine learning
246	Tracking Humans using Prior and Learned Representations of Shape and Appearance Jongwoo Lim David Kriegman Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2004-05-05 16:58:36 Statistical models Artificial intelligence Image processing Statistical theory Parametric model Video tracking Mixture model Blob detection Markov chain Statistics Computer vision Probability and statistics
247	IEEE SIGNAL PROCESSING LETTERS, VOL. X, NO. X, [removed]Probabilistic Linear Discriminant Analysis for Acoustic Modelling Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-07 20:20:30 Markov models Statistical models Statistical classification Speech recognition Hidden Markov model Mixture model Linear discriminant analysis Generalized method of moments Mel-frequency cepstrum Statistics Estimation theory Bayesian statistics
248	Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Sam Patterson Gatsby Computational Neuroscience Unit University College London [removed] Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Statistical models Markov models Statistical natural language processing Expectation–maximization algorithm Markov chain Monte Carlo Fisher information Mixture model Markov chain Latent Dirichlet allocation Statistics Estimation theory Bayesian statistics
249	Microsoft Word - Chu_Zhao_Kim Regional typhoon activity and climate change.… Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2013-10-29 16:26:27 Expectation–maximization algorithm Missing data Gamma distribution Normal distribution Tropical cyclone Mixture model Multivariate normal distribution Statistics Probability and statistics Estimation theory
250	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-07 19:59:18 Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics Computational linguistics Estimation theory

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