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Rebuilding Factorized Information Criterion: Asymptotically Accurate
  Marginal Likelihood

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

22 April 2015
K. Hayashi
S. Maeda
R. Fujimaki
ArXiv (abs)PDFHTML

Papers citing "Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood"

4 / 4 papers shown
Title
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
84
142
0
28 Feb 2018
Distributed Bayesian Piecewise Sparse Linear Models
Distributed Bayesian Piecewise Sparse Linear Models
M. Asahara
R. Fujimaki
24
0
0
07 Nov 2017
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Satoshi Hara
K. Hayashi
110
91
0
29 Jun 2016
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo
K. Hayashi
S. Maeda
23
3
0
03 Sep 2015
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