Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results

2014 ◽  
Vol 24 ◽  
pp. 144-161 ◽  
Author(s):  
Rémi Cogranne ◽  
Florent Retraint ◽  
Cathel Zitzmann ◽  
Igor Nikiforov ◽  
Lionel Fillatre ◽  
...  
Author(s):  
Cathel Zitzmann ◽  
Rémi Cogranne ◽  
Florent Retraint ◽  
Igor Nikiforov ◽  
Lionel Fillatre ◽  
...  

2010 ◽  
Vol 10 (3) ◽  
pp. 719-729 ◽  
Author(s):  
M. Davarynejad ◽  
C.W. Ahn ◽  
J. Vrancken ◽  
J. van den Berg ◽  
C.A. Coello Coello

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


PsycCRITIQUES ◽  
2009 ◽  
Vol 54 (42) ◽  
Author(s):  
Gordon Pitz
Keyword(s):  

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