Prior probability

Results: 727



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51Prior Probability Idea 1 Quite often we have a rough idea of what function we can expect beforehand. • We observe similar functions in practice. • We think that e.g. smooth functions should be more likely. • We wou

Prior Probability Idea 1 Quite often we have a rough idea of what function we can expect beforehand. • We observe similar functions in practice. • We think that e.g. smooth functions should be more likely. • We wou

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Source URL: alex.smola.org

Language: English - Date: 2013-09-09 02:28:50
    52Uncertainty	
  in	
  Natural	
  Intelligence	
  Workshop	
  at	
  UAI	
  2012	
    8:20-­‐8:30	
   Introduction	
  

    Uncertainty  in  Natural  Intelligence  Workshop  at  UAI  2012   8:20-­‐8:30   Introduction  

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    Source URL: cocosci.berkeley.edu

    Language: English - Date: 2012-08-16 11:25:12
    53The Meaning of Events Ashish Mahabal, S.G. Djorgovski, Ciro Donalek California Institute of Technology The classification of complex celestial events Exploration of the time domain is rapidly becoming one of the most exc

    The Meaning of Events Ashish Mahabal, S.G. Djorgovski, Ciro Donalek California Institute of Technology The classification of complex celestial events Exploration of the time domain is rapidly becoming one of the most exc

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    Source URL: www.cacr.caltech.edu

    Language: English - Date: 2010-11-17 16:37:13
    54The Annals of Applied Statistics 2014, Vol. 8, No. 2, 1256–1280 DOI: AOAS739 © Institute of Mathematical Statistics, 2014  PROBABILITY AGGREGATION IN TIME-SERIES: DYNAMIC

    The Annals of Applied Statistics 2014, Vol. 8, No. 2, 1256–1280 DOI: AOAS739 © Institute of Mathematical Statistics, 2014 PROBABILITY AGGREGATION IN TIME-SERIES: DYNAMIC

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    Source URL: www-stat.wharton.upenn.edu

    Language: English - Date: 2014-07-06 15:12:10
    55Stat Biosci:206–224 DOIs12561Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach Oliver A. Entine · Dylan S. Small · Shane T. Jensen ·

    Stat Biosci:206–224 DOIs12561Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach Oliver A. Entine · Dylan S. Small · Shane T. Jensen ·

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    Source URL: www-stat.wharton.upenn.edu

    Language: English - Date: 2015-10-23 12:40:56
    56Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

    Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

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    Source URL: decsai.ugr.es

    Language: English - Date: 2011-02-28 13:24:21
    57Supporting Information Maurits and GriffithspnasWord Order Distribution in Sample Table S1 shows the number of languages with each basic word order in each of the six language families in our sample.

    Supporting Information Maurits and GriffithspnasWord Order Distribution in Sample Table S1 shows the number of languages with each basic word order in each of the six language families in our sample.

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    Source URL: www.luke.maurits.id.au

    Language: English - Date: 2016-04-23 00:08:22
    58DOIjqas      JQAS 2013; 9(1): 97–111  Robert B. Gramacy*, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression

    DOIjqas      JQAS 2013; 9(1): 97–111 Robert B. Gramacy*, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression

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    Source URL: www-stat.wharton.upenn.edu

    Language: English - Date: 2013-04-04 09:36:33
    59Cognitive Psychology–29  Contents lists available at ScienceDirect Cognitive Psychology journal homepage: www.elsevier.com/locate/cogpsych

    Cognitive Psychology–29 Contents lists available at ScienceDirect Cognitive Psychology journal homepage: www.elsevier.com/locate/cogpsych

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    Source URL: cocosci.berkeley.edu

    Language: English - Date: 2014-12-23 17:24:19
    60Astronomical Image Restoration Using Variational Methods and Model Combination Miguel Vega1,∗ Dept. de Lenguajes y Sistemas Inform´ aticos, Univ. de Granada, 18071 Granada, Spain

    Astronomical Image Restoration Using Variational Methods and Model Combination Miguel Vega1,∗ Dept. de Lenguajes y Sistemas Inform´ aticos, Univ. de Granada, 18071 Granada, Spain

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    Source URL: decsai.ugr.es

    Language: English - Date: 2011-05-11 05:52:43