Bayesian statistics

Results: 3999



#Item
81PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel†

PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel†

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Source URL: www.rhythmos.org

Language: English - Date: 2015-07-18 05:41:54
82A Bayesian decision-theoretic approach to incorporating pre-clinical information into phase I clinical trials Haiyan Zheng, Lisa V. Hampson Medical and Pharmaceutical Statistics Research Unit Department of Mathematics an

A Bayesian decision-theoretic approach to incorporating pre-clinical information into phase I clinical trials Haiyan Zheng, Lisa V. Hampson Medical and Pharmaceutical Statistics Research Unit Department of Mathematics an

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Source URL: www.ideas-itn.eu

Language: English - Date: 2016-06-27 05:49:50
83Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS  Efficient representation and P-value computation for

Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS Efficient representation and P-value computation for

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Source URL: pbil.univ-lyon1.fr

Language: English - Date: 2008-10-22 02:35:22
84The 2012 ICSI/Berkeley Video Location Estimation System Jaeyoung Choi, Gerald Friedland International Computer Science Institute 1947 Center St., Suite 600 Berkeley, CA 94704, USA

The 2012 ICSI/Berkeley Video Location Estimation System Jaeyoung Choi, Gerald Friedland International Computer Science Institute 1947 Center St., Suite 600 Berkeley, CA 94704, USA

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Source URL: ceur-ws.org

Language: English - Date: 2012-10-02 11:32:14
85Learning Continuous-Time Social Network Dynamics  Yu Fan University of California, Riverside

Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:15
86Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach  Bert Huang

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang

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Source URL: stephenbach.net

Language: English - Date: 2013-11-10 21:50:33
87ABSTRACT  Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC:

ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC:

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Source URL: stephenbach.net

Language: English - Date: 2015-10-08 14:59:19
88A Bayesian Framework for Learning Words From Multiword Utterances Stephan C. Meylan () Thomas L. Griffiths (tom ) Department of Psychology, University of California, Berkeley, CA

A Bayesian Framework for Learning Words From Multiword Utterances Stephan C. Meylan () Thomas L. Griffiths (tom ) Department of Psychology, University of California, Berkeley, CA

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Source URL: www.socsci.uci.edu

Language: English - Date: 2015-09-17 16:09:29
89MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org

MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org

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Source URL: treethinkers.org

Language: English - Date: 2014-03-09 14:13:45
90Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami  David Szepesvari

Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari

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Source URL: juxi.net

Language: English - Date: 2016-06-17 11:44:38