Muneki Yasuda

发表

Bayesian Reconstruction of Missing Observations

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, 2014 .

Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method pdf

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, 2015, ArXiv.

Visualization and evaluation of the relation between the estimated sleep satisfaction levels using nonlinear multiple regression analysis and autonomic nervous system

Minami Tsuchiya, Michio Yokoyama, Muneki Yasuda, 2020, Nonlinear Theory and Its Applications, IEICE.

Improvement of Batch Normalization in Imbalanced Data pdf

Muneki Yasuda, Seishirou Ueno, 2019, ArXiv.

An efficient test method for noise robustness of deep neural networks

Michio Yokoyama, Muneki Yasuda, Seung-Il Cho, 2019, Nonlinear Theory and Its Applications, IEICE.

Traffic data reconstruction based on Markov random field modeling pdf

Kazuyuki Tanaka, Cyril Furtlehner, Shun Kataoka, 2013, ArXiv.

Estimation System of Blood Pressure Variation with Photoplethysmography Signals Using Multiple Regression Analysis and Neural Network

Minami Tsuchiya, Michio Yokoyama, Muneki Yasuda, 2018, Int. J. Fuzzy Log. Intell. Syst..

Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model pdf

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, 2018, Journal of the Physical Society of Japan.

Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field

Kazuyuki Tanaka, Junpei Watanabe, Shun Kataoka, 2017, IEICE Trans. Inf. Syst..

Pseudo Temperature of Observed Data

Muneki Yasuda, 2012 .

Inverse Renormalization Group Transformation in Bayesian Image Segmentations pdf

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, 2015, ArXiv.

Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment pdf

Muneki Yasuda, Seishirou Ueno, Yeo Xian En, 2020, ArXiv.

Belief Propagation Algorithm for Portfolio Optimization Problems

Muneki Yasuda, Takashi Shinzato, T. Shinzato, 2010, PloS one.

Monte Carlo Integration Using Spatial Structure of Markov Random Field

Muneki Yasuda, 2015 .

Empirical Bayes Method for Boltzmann Machines pdf

Tomoyuki Obuchi, Muneki Yasuda, 2019, ArXiv.

Approximate Learning Algorithm for Restricted Boltzmann Machines

Kazuyuki Tanaka, Muneki Yasuda, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Changing Tendency Analysis of Sleep Quality on the Basis of Temperature and Respiratory Frequency Using a Neural Network Model

Minami Tsuchiya, Michio Yokoyama, Muneki Yasuda, 2020, Int. J. Fuzzy Log. Intell. Syst..

Detection of human-interaction network using Markov random field

Michio Yokoyama, Muneki Yasuda, Tomochika Harada, 2019 .

Estimation of priors in natural images pdf

Tomoyuki Obuchi, Muneki Yasuda, Hirokazu Koma, 2014, ArXiv.

Approximate Learning Algorithm in Boltzmann Machines

Kazuyuki Tanaka, Muneki Yasuda, Kazuyuki Tanaka, 2009, Neural Computation.

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method

Muneki Yasuda, Muneki Yasuda, 2018, Algorithms.

Spatial Monte Carlo Integration with Annealed Importance Sampling pdf

Muneki Yasuda, Kaiji Sekimoto, 2020, ArXiv.

Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering pdf

Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, 2016, ArXiv.

Bayesian Image Denoising with Multiple Noisy Images

Shun Kataoka, Muneki Yasuda, Muneki Yasuda, 2019, The Review of Socionetwork Strategies.

Statistical Mechanical Informatics for Portfolio Optimization Problems

Muneki Yasuda, Takashi Shinzato, 2010 .

Composite likelihood estimation for restricted Boltzmann machines

Kazuyuki Tanaka, Yuji Waizumi, Shun Kataoka, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Bayesian Image Modeling by Means of a Generalized Sparse Prior and Loopy Belief Propagation

Kazuyuki Tanaka, Muneki Yasuda, D. Michael Titterington, 2012 .

Estimation of sleep onset and awaking time using a deep neural network with physiological data during sleep

Minami Tsuchiya, Michio Yokoyama, Muneki Yasuda, 2019, Nonlinear Theory and Its Applications, IEICE.

Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines

Muneki Yasuda, 2016, AISTATS.

Effective Mean-Field Inference Method for Nonnegative Boltzmann Machines

Muneki Yasuda, 2014, 2014 22nd International Conference on Pattern Recognition.

Statistical Inferences by Gaussian Markov Random Fields on Complex Networks

Kazuyuki Tanaka, Muneki Yasuda, Takafumi Usui, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation pdf

Shun Kataoka, Muneki Yasuda, Muneki Yasuda, 2017, ArXiv.

Bayesian image segmentations by Potts prior and loopy belief propagation pdf

Kazuyuki Tanaka, Yuji Waizumi, Chiou-Ting Hsu, 2014, ArXiv.

Sublinear Computational Time Modeling by Momentum-Space Renormalization Group Theory in Statistical Machine Learning Procedures

Kazuyuki Tanaka, Muneki Yasuda, Masayuki Ohzeki, 2019, The Review of Socionetwork Strategies.

A Generalization of Spatial Monte Carlo Integration pdf

Kei Uchizawa, Muneki Yasuda, 2020, ArXiv.

Restricted Boltzmann Machine with Multivalued Hidden Variables pdf

Muneki Yasuda, Yuuki Yokoyama, Tomu Katsumata, 2018, The Review of Socionetwork Strategies.

Statistical analysis of the expectation-maximization algorithm with loopy belief propagation in Bayesian image modeling

D. M. Titterington, Shun Kataoka, Muneki Yasuda, 2012 .

Effective fine-tuning training of deep Boltzmann machine based on spatial Monte Carlo integration

Muneki Yasuda, Tomu Katsumata, Muneki Yasuda, 2021, Nonlinear Theory and Its Applications, IEICE.

Spatial Monte Carlo Integration with Annealed Importance Sampling

Muneki Yasuda, Kaiji Sekimoto, 2021, Physical review. E.

Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer

Muneki Yasuda, Yuri Kanno, Muneki Yasuda, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

The association between the subjective quality of sleep and the phase of a 90-minute periodic signal for the wake-up support system

Minami Tsuchiya, Muneki Yasuda, Tomochika Harada, 2021, Nonlinear Theory and Its Applications, IEICE.

Statistical Analysis of Gaussian Image Inpainting Problems

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2012 .

Statistical Performance Analysis in Probabilistic Image Processing

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2010 .

TAP equation for non-negative Boltzmann machine

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2012 .

Preferential urn model and nongrowing complex networks.

Jun Ohkubo, Muneki Yasuda, Kazuyuki Tanaka, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Replica Plefka expansion of Ising systems

Yoshiyuki Kabashima, Muneki Yasuda, Kazuyuki Tanaka, 2012 .

Inverse Problem in Pairwise Markov Random Fields Using Loopy Belief Propagation

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2012 .

The mathematical structure of the approximate linear response relation

Muneki Yasuda, Muneki Yasuda, Kazuyuki Tanaka, 2007 .

Boltzmann Machines with Bounded Continuous Random Variables

Muneki Yasuda, Kazuyuki Tanaka, 2007 .

Statistical performance analysis by loopy belief propagation in Bayesian image modeling

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2010 .

The Relationship between Plefka's Expansion and the Cluster Variation Method

Muneki Yasuda, Kazuyuki Tanaka, Kazuyuki Tanaka, 2006 .

Statistical-mechanical iterative algorithms on complex networks.

Jun Ohkubo, Muneki Yasuda, Kazuyuki Tanaka, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Mean Field Approximation for Fields of Experts

Muneki Yasuda, Kazuyuki Tanaka, 2013 .

Kullback-Leibler Importance Estimation Procedureを用いた Restricted Boltzmann Machineの学習アルゴリズム Learning Algorithm in Restricted Boltzmann Machines using Kullback-Leibler Importance Estimation Procedure

Muneki Yasuda, Kazuyuki Tanaka, Tetsuharu Sakurai, 2009 .

Learning Algorithm for Boltzmann Machines Using Max-Product Algorithm and Pseudo-Likelihood

Muneki Yasuda, Kazuyuki Tanaka, Junya Tannai, 2012 .

Replica Analysis of Preferential Urn Model

Jun Ohkubo, Muneki Yasuda, Kazuyuki Tanaka, 2006 .

Triangular approximation for Ising model and its application to Boltzmann machine

Tsuyoshi Horiguchi, Muneki Yasuda, T. Horiguchi, 2006 .