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Expectation–maximization algorithm
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#	Item
901	Individualized Bayesian Knowledge Tracing Models Michael V. Yudelson, Kenneth R. Koedinger, and Geoffrey J. Gordon Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213, USA {yudelson,koedinger}@cmu.edu,ggor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-05-07 10:11:29 Statistical theory Statistical methods Estimation theory Expectation–maximization algorithm Hidden Markov model Item response theory Regression analysis Bayesian inference Parameter Statistics Bayesian statistics Statistical models
902	1184 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 31, Add to Reading List Source URL: www.cubs.buffalo.edu Language: English - Date: 2013-06-12 17:55:41 Thresholding Expectation–maximization algorithm Bar Segmentation Edge detection Image processing Statistics Thorn
903	Probabilistic Complex Event Triggering Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-12-18 02:16:40 Estimation theory Probability and statistics Machine learning Bayesian network Expectation–maximization algorithm Probability Graphical model Supervised learning Probabilistic logic Statistics Bayesian statistics Statistical models
904	Inference in Dynamic Discrete Choice Models With Serially Correlated Unobserved State Variables Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:54 Bayes estimator Gibbs sampling Likelihood function Expectation–maximization algorithm Estimation theory Statistics Maximum likelihood
905	A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart Russell Computer Science Division University of California, Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-10-27 20:39:29 Bayesian statistics Probability Sequence motif Variational Bayesian methods Mixture model Multinomial distribution Dirichlet distribution Expectation–maximization algorithm Hierarchical Bayes model Statistics Bioinformatics Probability and statistics
906	SJNW1028-03-NO00009965.tex Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2010-03-31 03:55:45 Vision Imaging Robot control Estimation theory 3D pose estimation Segmentation Object recognition Expectation–maximization algorithm Pose Statistics Computer vision Image processing
907	The Extended Parameter Filter Yusuf B. Erol† Lei Li† Bharath Ramsundar Computer Science Department, Stanford University Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-28 02:44:09 Statistical theory Particle filter Expectation–maximization algorithm Time complexity Kalman filter Sufficient statistic Identifiability Kullback–Leibler divergence Statistics Estimation theory Robot control
908	Exponential Family Harmoniums with an Application to Information Retrieval Max Welling & Michal Rosen-Zvi Information and Computer Science University of California Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:10 Psychometrics Natural language processing Multivariate statistics Probabilistic latent semantic analysis Expectation–maximization algorithm Latent variable Latent Dirichlet allocation Mixture model Gibbs sampling Statistics Statistical models Statistical natural language processing
909	Estimation of dynamic discrete choice models using artificial neural network approximations Andriy Norets ∗ Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:58 Estimation theory Computational statistics M-estimators Artificial neural network Artificial neuron Expectation–maximization algorithm Statistics Neural networks Computational neuroscience
910	1 Optimization Flow Control, I: Basic Algorithm and Convergence Steven H. Low, Senior Member, IEEE and David E. Lapsley Abstract— We propose an optimization approach to flow Add to Reading List Source URL: netlab.caltech.edu Language: English - Date: 2006-08-03 19:51:46 Operations research Mathematical logic Recursion Mathematical optimization Expectation–maximization algorithm Network congestion Fold Algorithm Statistics Computing Mathematics

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