scholarly journals Automatic story segmentation using a Bayesian decision framework for statistical models of lexical chain features

2009 ◽  
Author(s):  
Wai-Kit Lo ◽  
Wenying Xiong ◽  
Helen Meng
Keyword(s):  
Statistical Models ◽  
Bayesian Decision ◽  
Decision Framework ◽  
Story Segmentation ◽  
Lexical Chain

scholarly journals Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA

2021 ◽  
Vol 16 (1) ◽  
pp. 61-91 ◽  
Author(s):  
Laura C. Dawkins ◽  
Daniel B. Williamson ◽  
Kerrie L. Mengersen ◽  
Lidia Morawska ◽  
Rohan Jayaratne ◽  
...  
Keyword(s):  
Route Selection ◽  
Bayesian Decision ◽  
Decision Framework ◽  
Clean Air

scholarly journals Optimal crowd-augmented spectrum mapping via an iterative Bayesian decision framework

2020 ◽  
Vol 105 ◽  
pp. 102163
Author(s):  
Ahmad Rabanimotlagh ◽  
Prabhu Janakaraj ◽  
Pu Wang
Keyword(s):  
Bayesian Decision ◽  
Decision Framework

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

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.

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