Bayesian

Results: 5731



#Item
1Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

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Source URL: arxiv.org

Language: English - Date: 2018-01-31 20:18:17
2D REAM C ODER: Bootstrapping Domain-Specific Languages for Neurally-Guided Bayesian Program Learning Kevin Ellis 1 Lucas Morales 1 Mathias Sabl´e Meyer 1 Armando Solar-Lezama 1 Joshua B. TenenbaumIntroduction

D REAM C ODER: Bootstrapping Domain-Specific Languages for Neurally-Guided Bayesian Program Learning Kevin Ellis 1 Lucas Morales 1 Mathias Sabl´e Meyer 1 Armando Solar-Lezama 1 Joshua B. TenenbaumIntroduction

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Source URL: uclmr.github.io

Language: English - Date: 2018-08-06 06:17:49
3Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

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Source URL: spiral.imperial.ac.uk

Language: English - Date: 2016-09-08 00:46:08
4HLBPR:A Hybrid Local Bayesian Personal Ranking Method Xu Chen1 13 Pengfei Wang2

HLBPR:A Hybrid Local Bayesian Personal Ranking Method Xu Chen1 13 Pengfei Wang2

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Source URL: gdac.uqam.ca

Language: English - Date: 2017-10-04 00:28:57
5J. R. Statist. Soc. B, Part 3, pp. 575–589 Bayesian variable selection and regularization for time–frequency surface estimation Patrick J. Wolfe, Simon J. Godsill and Wee-Jing Ng

J. R. Statist. Soc. B, Part 3, pp. 575–589 Bayesian variable selection and regularization for time–frequency surface estimation Patrick J. Wolfe, Simon J. Godsill and Wee-Jing Ng

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

Language: English - Date: 2013-08-15 11:01:47
    6A Two-phase Method for Extracting Explanatory Arguments from Bayesian Networks Sjoerd T. Timmera,∗, John-Jules Ch. Meyera , Henry Prakkena,b , Silja Renooija , Bart Verheijc a Utrecht

    A Two-phase Method for Extracting Explanatory Arguments from Bayesian Networks Sjoerd T. Timmera,∗, John-Jules Ch. Meyera , Henry Prakkena,b , Silja Renooija , Bart Verheijc a Utrecht

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    Source URL: www.ai.rug.nl

    Language: English - Date: 2016-10-22 07:52:44
      7Model Introduction  Bayesian Estimation Bayesian Prediction

      Model Introduction Bayesian Estimation Bayesian Prediction

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      Source URL: www.mathematik.tu-dortmund.de

      Language: English - Date: 2018-03-13 08:42:24
        8Introduction to the Bayesian Approach to Inverse Problems - Part 2: Algorithms Lecture 3 Claudia Schillings, Aretha Teckentrup∗,† ∗ School

        Introduction to the Bayesian Approach to Inverse Problems - Part 2: Algorithms Lecture 3 Claudia Schillings, Aretha Teckentrup∗,† ∗ School

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        Source URL: www.maths.manchester.ac.uk

        Language: English - Date: 2017-05-15 12:49:26
          9On the Relationship between Sum-Product Networks and Bayesian Networks by Han Zhao

          On the Relationship between Sum-Product Networks and Bayesian Networks by Han Zhao

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          Source URL: cs.uwaterloo.ca

          Language: English - Date: 2015-12-18 23:13:34
            10A Structure-guided Approach to Capturing Bayesian Reasoning about Legal Evidence in Argumentation Sjoerd T. Timmer John-Jules Ch. Meyer

            A Structure-guided Approach to Capturing Bayesian Reasoning about Legal Evidence in Argumentation Sjoerd T. Timmer John-Jules Ch. Meyer

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            Source URL: www.ai.rug.nl

            Language: English - Date: 2015-05-12 04:42:06