Muneki Yasuda

According to our database1, Muneki Yasuda authored at least 27 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Changing Tendency Analysis of Sleep Quality on the Basis of Temperature and Respiratory Frequency Using a Neural Network Model.
Int. J. Fuzzy Log. Intell. Syst., 2020

Spatial Monte Carlo Integration with Annealed Importance Sampling.
CoRR, 2020

A Generalization of Spatial Monte Carlo Integration.
CoRR, 2020

Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment.
CoRR, 2020

2019
Restricted Boltzmann Machine with Multivalued Hidden Variables.
Rev. Socionetwork Strateg., 2019

Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures.
Rev. Socionetwork Strateg., 2019

Bayesian Image Denoising with Multiple Noisy Images.
Rev. Socionetwork Strateg., 2019

Improvement of Batch Normalization in Imbalanced Data.
CoRR, 2019

Empirical Bayes Method for Boltzmann Machines.
CoRR, 2019

2018
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field.
IEICE Trans. Inf. Syst., 2018

Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting.
CoRR, 2018

Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model.
CoRR, 2018

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method.
Algorithms, 2018

2017
Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation.
CoRR, 2017

2016
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering.
CoRR, 2016

Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method.
CoRR, 2015

Inverse Renormalization Group Transformation in Bayesian Image Segmentations.
CoRR, 2015

2014
Bayesian image segmentations by Potts prior and loopy belief propagation.
CoRR, 2014

Estimation of priors in natural images.
CoRR, 2014

Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Traffic data reconstruction based on Markov random field modeling.
CoRR, 2013

2012
Composite likelihood estimation for restricted Boltzmann machines.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Belief Propagation Algorithm for Portfolio Optimization Problems
CoRR, 2010

2009
Approximate Learning Algorithm in Boltzmann Machines.
Neural Comput., 2009

2008
Approximate Learning Algorithm for Restricted Boltzmann Machines.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Statistical Inferences by Gaussian Markov Random Fields on Complex Networks.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008


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