Latent variable selection in multidimensional item response theory models using the expectation model selection algorithm

2021 ◽  
Author(s):  
Ping‐Feng Xu ◽  
Laixu Shang ◽  
Qian‐Zhen Zheng ◽  
Na Shan ◽  
Man‐Lai Tang
Keyword(s):  
Item Response Theory ◽  
Model Selection ◽  
Variable Selection ◽  
Item Response ◽  
Latent Variable ◽  
Multidimensional Item Response Theory ◽  
Selection Algorithm ◽  
Multidimensional Item Response ◽  
Expectation Model ◽  
Item Response Theory Models

scholarly journals Boltzmann Machines as Multidimensional Item Response Theory Models

2021 ◽  
Author(s):  
Gunter Maris ◽  
Timo Bechger
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Multidimensional Item Response Theory ◽  
Multidimensional Item Response ◽  
Response Theory ◽  
Restricted Boltzmann Machines ◽  
Boltzmann Machines ◽  
New Learning ◽  
Carry Over ◽  
Item Response Theory Models

We show that Boltzmann machines can formally be represented as multidimensional item response theory models. This relationship inspired a new learning principle and new ways to regularize Boltzmann machines to make them more interpretable. The core results carry over to a broader class of models including Gaussian-Bernoulli restricted Boltzmann machines.

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