Bayesian model selection approach for coloured graphical Gaussian models

2020 ◽  
Vol 90 (14) ◽  
pp. 2631-2654
Author(s):  
Qiong Li ◽  
Xin Gao ◽  
Hélène Massam
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Gaussian Models ◽  
Model Selection Approach ◽  
Selection Approach ◽  
Graphical Gaussian Models ◽  
Graphical Gaussian ◽  
Bayesian Model Selection Approach

scholarly journals Combining dimensions and features in similarity-based representations

2019 ◽  
Author(s):  
Danielle Navarro ◽  
Michael David Lee
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Data Set ◽  
Similarity Data ◽  
Model Selection Approach ◽  
Selection Approach ◽  
Representational Model ◽  
Bayesian Model Selection Approach

This paper develops a new representational model of similarity data that combines continuous dimensions with discrete features. An algorithm capable of learning these representations is described, and a Bayesian model selection approach for choosing the appropriate number of dimensions and features is developed. The approach is demonstrated on a classic data set that considers the similarities between the numbers 0 through 9.

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