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The top documents tagged [different priors]
Clustered Compressive Sensingbased Image Denoising Using Bayesian Framework
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Bayesian Methods for Speech Enhancement I. Andrianakis P. R. White Signal Processing and Control Group Institute of Sound and Vibration Research University
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Developments in Bayesian Priors Roger Barlow Manchester IoP meeting November 16 th 2005
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[Topic 5-Bayesian Analysis] 1/77 Discrete Choice Modeling William Greene Stern School of Business New York University
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Input for fundamental physics Model independent way to extract information Known tests (very) sensitive to theoretical priors challenges to experiment
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Galactic noise model adjustment Jean-Luc Vergely (ACRI-ST) Jacqueline Boutin (LOCEAN) Xiaobin Yin (LOCEAN)
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Input for fundamental physics Model independent way to extract information
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1. OPERATONAL! 2 ? 3 ? data’s the best companion! faithful, o, but stubborn. need some kind of natural push to get it going on and on.. 4
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Amos Storkey, School of Informatics. when training and test distributions are different characterising learning transfer
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Discrete Choice Modeling
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Open Science Framework: Supporting the research worflow
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