Graphical model

Results: 650



#Item
461Statistical inference / Machine learning / Bayesian network / Bayesian inference / Confidence interval / Uncertain data / Graphical model / Probabilistic logic / Statistics / Bayesian statistics / Statistical models

Uncertain<T>: A First-Order Type for Uncertain Data

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Source URL: src.acm.org

Language: English - Date: 2014-04-23 10:43:39
462Probability theory / Markov processes / Graphical models / Artificial intelligence / Hidden Markov model / Markov random field / Gibbs sampling / Random field / Expectation–maximization algorithm / Statistics / Probability and statistics / Markov models

Bulletin of Mathematical Biology[removed]: 297–321 DOI[removed]s11538[removed]O R I G I N A L A RT I C L E Markov Random Field Modeling of the Spatial Distribution of Proteins on Cell Membranes

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Source URL: www.cs.unm.edu

Language: English - Date: 2013-08-20 17:04:40
463Statistical models / Statistical theory / Bayesian network / Networks / Bayesian inference / Inference / Graphical model / User modeling / Usability / Statistics / Bayesian statistics / Logic

The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users Eric Horvitz, Jack Breese, David Heckerman, David Hovel, Koos Rommelse Microsoft Research Redmond, WA[removed]fhorvitz,b

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2005-11-11 05:22:18
464Graphical models / Statistical methods / Hierarchical Bayes model / Regression analysis / Statistics / Bayesian statistics / Econometrics

Bayesian Methods for Regional Eutrophication Models using the Nutrient Criteria Database

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Source URL: epa.gov

Language: English - Date: 2006-02-14 16:07:51
465Business intelligence / SAS / Graphical user interface / Computer simulation / SQL / Science / Computing / Software engineering / 4GL

Stochastic Human Exposure and Dose Simulation Model for Multimedia, Multipathway Chemicals SHEDS-Multimedia User Manual Version 3

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Source URL: www.epa.gov

Language: English - Date: 2010-12-02 17:23:40
466Graphical models / Bayesian statistics / Networks / Bayesian network / Directed acyclic graph / Mixture model / Latent variable / Expectation–maximization algorithm / Independent component analysis / Statistics / Statistical models / Estimation theory

Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine [removed]

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:20
467Systems science / Business intelligence / Graphical user interfaces / Feedback / GUI widget / Data cleansing / Economic model / Control system / Control theory / Systems theory / Cybernetics

Designing Adaptive Feedback for Improving Data Entry Accuracy Kuang Chen, Joseph M. Hellerstein Dept. of Electrical Engineering and Computer Science University of California, Berkeley 387 Soda Hall, Berkeley, CA[removed]

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2010-08-01 16:48:09
468Statistical models / Markov models / Graphical models / Estimation theory / Expectation–maximization algorithm / Missing data / Kalman filter / Hidden Markov model / Bayesian network / Statistics / Transport / Private transport

Spectral Methods for Learning Multivariate Latent Tree Structure Animashree Anandkumar1 , Kamalika Chaudhuri2 , Daniel Hsu3 , Sham M. Kakade3,4 , Le Song5 , and Tong Zhang6 1 Department of Electrical Engineering and Com

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:21
469Graphical model / Scientific modelling / Wavelet / Markov chain / Machine learning / Statistics / Statistical models / Bayesian statistics

Graphical models and message-passing Part I: Basics and MAP computation

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2012-09-03 02:30:46
470Science / Lexical semantics / Mathematics / Belief propagation / Coding theory / WordNet / Cyc / Graphical model / Minimum spanning tree / Linguistics / Computational linguistics / Knowledge representation

Structured Learning for Taxonomy Induction with Belief Propagation Mohit Bansal TTI Chicago [removed] David Burkett

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Source URL: nlp.cs.berkeley.edu

Language: English - Date: 2014-11-13 15:24:06
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