Expectation–maximization algorithm

Results: 1006



#Item
531Kültepe / Assyria / Latent variable / Expectation–maximization algorithm / Ashur / Statistics / Asia / Fertile Crescent

arXiv:1303.2873v1 [cs.CY] 12 Mar[removed]Inferring Social Rank in an Old Assyrian Trade Network David Bamman

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Source URL: arxiv.org

Language: English - Date: 2013-03-12 20:06:37
532Least squares / Errors-in-variables models / Nonlinear regression / Bayesian linear regression / Expectation–maximization algorithm / Tikhonov regularization / Ordinary least squares / Total least squares / Regularization / Statistics / Regression analysis / Linear regression

Bayesian robot system identification with input and output noise

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Source URL: www-clmc.usc.edu

Language: English - Date: 2010-09-26 14:10:24
533Statistical inference / Statistical theory / Machine learning / Expectation–maximization algorithm / Gibbs sampling / Hidden Markov model / Bayesian inference / Variational Bayesian methods / Pattern recognition / Statistics / Bayesian statistics / Estimation theory

Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-14 21:27:14
534M-estimators / Maximum likelihood / Bias of an estimator / Normal distribution / Support / Expectation–maximization algorithm / Exponential distribution / Statistics / Estimation theory / Statistical theory

Ph.D. Methodology Qualifying Exam, August 2011 Department of Statistics, Texas A&M University Instruction 1. DO NOT put your NAME on the exam. Place the NUMBER assigned to you on the UPPER RIGHT HAND CORNER of EACH PAGE

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Source URL: www.stat.tamu.edu

Language: English - Date: 2011-09-06 11:51:13
535Statistical inference / Statistical models / Machine learning / Normal distribution / Expectation–maximization algorithm / Xi / Confidence interval / Mixture model / Generalized method of moments / Statistics / Estimation theory / Econometrics

Source Click here to download Manuscript: GrollmanBillard.tex Noname manuscript No. (will be inserted by the editor)

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Source URL: www.first-mm.eu

Language: English - Date: 2012-07-18 12:01:34
536Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2013-07-24 09:27:48
537Estimation theory / Normal distribution / Expectation–maximization algorithm / Support / Random variable / Maximum likelihood / Statistics / Mathematical analysis / Probability and statistics

METHODOLOGY Ph.D. EXAM January 2010 INSTRUCTIONS FOR STUDENTS: 1. DO NOT put your NAME on the exam. Place the NUMBER assigned to you on the UPPER RIGHT HAND CORNER of EACH PAGE of your solutions.

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Source URL: www.stat.tamu.edu

Language: English - Date: 2010-02-16 12:47:16
538Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption

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Source URL: www.first-mm.eu

Language: English - Date: 2013-07-24 09:27:48
539Model theory / Statistical models / Ensemble learning / Gradient boosting / Expectation–maximization algorithm / Function / First-order logic / Regression analysis / Supervised learning / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2012-07-18 16:57:18
540Expectation–maximization algorithm / Missing data / Dimensional analysis / Econometrics / Parametric model / Statistics / Estimation theory / Statistical theory

STOMP: Stochastic Trajectory Optimization for Motion Planning

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Source URL: www-clmc.usc.edu

Language: English - Date: 2011-02-17 16:39:08
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