Expectation–maximization algorithm - PDFSEARCH.IO - Document Search Engine

Expectation–maximization algorithm
Results: 1006

#	Item
41	A Bayesian Approach for Aﬃne Auto-Calibration S.S. Brandt and K. Palander Helsinki University of Technology, Laboratory of Computational Engineering, P.O. Box 9203, FITKK, Finland Add to Reading List Source URL: www.ee.oulu.fi Language: English - Date: 2009-04-18 13:42:27 Bayesian statistics Statistical models Statistical inference Expectation–maximization algorithm Camera resectioning Statistics Estimation theory Statistical theory
42	latent gold 4.0 manual final for pdf.qxp Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2005-05-09 15:04:20 Estimation theory Akaike information criterion Psychometrics Expectation–maximization algorithm Bootstrapping Structural equation modeling Bayesian information criterion Statistics Statistical inference Model selection
43	Reinforcement Learning by Reward-weighted Regression for Operational Space Control Jan Peters Max-Planck Institute for Biological Cybernetics, 72074 Tuebingen, Germany Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-01-31 11:48:40 Estimation theory Reinforcement learning Expectation–maximization algorithm Linear regression Humanoid robot Supervised learning Stability Q-learning Statistics Machine learning Learning
44	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
45	Biometrics 61, 74–85 March 2005 Multiple Imputation for Model Checking: Completed-Data Plots with Missing and Latent Data Andrew Gelman,1,∗ Iven Van Mechelen,2 Geert Verbeke,3 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-03-09 16:55:08 Scientific method Psychometrics Expectation–maximization algorithm Imputation Latent variable Statistics Missing data Data analysis
46	EUSIPCO SEMI-SUPERVISED LEARNING FOR MUSICAL INSTRUMENT RECOGNITION Aleksandr Diment, Toni Heittola, Tuomas Virtanen Tampere University of Technology Department of Signal Processing Add to Reading List Source URL: www.cs.tut.fi Language: English - Date: 2013-10-21 04:06:40 Artificial intelligence Semi-supervised learning Supervised learning Expectation–maximization algorithm Natural language processing Algorithm Statistical classification Machine learning Statistics Computational statistics
47	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
48	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems Yuxin Chen ∗ Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2015-05-18 13:20:34 Regression analysis Numerical linear algebra Estimation theory Least squares Mathematical optimization Expectation–maximization algorithm Linear least squares Conjugate gradient method Complex number Statistics Mathematics Numerical analysis
49	X-TMCMC: Adaptive kriging for Bayesian inverse modeling Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-03-12 11:25:52 Surrogate model Likelihood function Dimensional analysis Maximum likelihood Expectation–maximization algorithm Statistics Estimation theory Kriging
50	Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008 Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-28 15:14:45 C programming language International Obfuscated C Code Contest Expectation–maximization algorithm Computer programming Computing Statistics