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Expectation–maximization algorithm
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#	Item
71	Understanding Collective Crowd Behaviors: Learning a Mixture Model of Dynamic Pedestrian-Agents Bolei Zhou1 , Xiaogang Wang2,3 , and Xiaoou Tang1,3 1 Department of Information Engineering, The Chinese University of Hong Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-10-31 13:07:32 Traffic flow Trajectory Expectation–maximization algorithm Agent-based model Applied mathematics Statistics Science Road transport
72	CRES SST REPORT 844 SEMI- PARAME ETRIC IT TEM RES SPONSE FUNCTIONS Add to Reading List Source URL: www.cse.ucla.edu Language: English - Date: 2015-04-22 18:08:10 Item response theory Estimation theory Logistic function Expectation–maximization algorithm Parameter Polytomous Rasch model Asymptote Statistics Psychometrics Statistical models
73	Probabilistic Modeling of Human Movements for Intention Inference Zhikun Wang1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , Jan Peters1,2 1 MPI for Intelligent Systems, Spemannstr. 3 Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2012-06-11 09:24:01 Linear filters Markov models Bayesian statistics Kalman filter Expectation–maximization algorithm Hidden Markov model Gaussian process Gaussian function Normal distribution Statistics Estimation theory Robot control
74	Globally Optimal Crowdsourcing Quality Management Akash Das Sarma Aditya G. Parameswaran Jennifer Widom Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-12-01 02:22:52 Mathematical sciences Maximum likelihood Expectation–maximization algorithm Algorithm PP Likelihood function Statistics Estimation theory Applied mathematics
75	Dynamic Attraction Models for Cultural Choice Victor Mart´ınez-de-Alb´eniz∗ Anna S´aez-de-Tejada† Submitted: September 8, 2014. Add to Reading List Source URL: webprofesores.iese.edu Language: English - Date: 2014-09-08 04:36:58 Expectation–maximization algorithm Choice modelling Linear regression Likelihood function Estimator Statistics Estimation theory Maximum likelihood
76	arXiv:1411.3377v1 [cs.DB] 12 NovComprehensive and Reliable Crowd Assessment Algorithms Manas Joglekar Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-13 21:05:15 Measurement Confidence interval Econometrics Market research Pure Expectation–maximization algorithm Interval estimation Normal distribution Statistics Statistical inference Estimation theory
77	TAP Gibbs Free Energy, Belief Propagation and Sparsity Lehel Csat´o and Manfred Opper Neural Computing Research Group School of Engineering and Applied Science Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-04-24 01:39:22 Normal distribution Belief propagation Kullback–Leibler divergence Bayesian network Expectation–maximization algorithm Gaussian function Statistics Graphical models Bayesian statistics
78	Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-02-16 16:55:39 Machine learning Expectation–maximization algorithm Errors-in-variables models Estimator Kernel density estimation M-estimator Minimax estimator Statistics Estimation theory Maximum likelihood
79	Characterizing Individual Communication Patterns R. Dean Malmgren1,2 , Jake M. Hofman1 , Luís A. N. Amaral2 , and Duncan J. Watts1 Yahoo! Research 111 W 40th St, 17th Floor New York, NY 10018, USA 1 Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2014-02-26 15:40:26 Data analysis Machine learning Bioinformatics Markov chain Hidden Markov model Parameter Data mining Poisson process Expectation–maximization algorithm Statistics Markov models Markov processes
80	PHYSICAL REVIEW LETTERS PRL 100, week ending 27 JUNE 2008 Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2008-12-17 23:22:46 Mathematical analysis Network theory Algebraic graph theory Modularity Variational Bayesian methods Expectation–maximization algorithm D-module Module Conjugate prior Statistics Mathematics Bayesian statistics

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