| Approximate learning algorithm in Boltzmann machines M Yasuda, K Tanaka Neural computation 21 (11), 3130-3178, 2009 | 47 | 2009 |
| Preferential urn model and nongrowing complex networks J Ohkubo, M Yasuda, K Tanaka Physical Review E 72 (6), 065104, 2005 | 37 | 2005 |
| Susceptibility propagation by using diagonal consistency M Yasuda, K Tanaka Physical Review E 87 (1), 012134, 2013 | 28 | 2013 |
| Digital image inpainting based on markov random field M Yasuda, J Ohkubo, K Tanaka International Conference on Computational Intelligence for Modelling …, 2005 | 25 | 2005 |
| Belief propagation algorithm for portfolio optimization problems T Shinzato, M Yasuda PloS one 10 (8), e0134968, 2015 | 18 | 2015 |
| Triangular approximation for Ising model and its application to Boltzmann machine M Yasuda, T Horiguchi Physica A: Statistical Mechanics and its Applications 368 (1), 83-95, 2006 | 18 | 2006 |
| Monte Carlo integration using spatial structure of Markov random field M Yasuda Journal of the Physical Society of Japan 84 (3), 034001, 2015 | 16 | 2015 |
| Traffic data reconstruction based on Markov random field modeling S Kataoka, M Yasuda, C Furtlehner, K Tanaka Inverse Problems 30 (2), 025003, 2014 | 16 | 2014 |
| Traffic data reconstruction based on Markov random field modeling S Kataoka, M Yasuda, C Furtlehner, K Tanaka Inverse Problems 30 (2), 025003, 2014 | 16 | 2014 |
| Replica analysis of preferential urn model J Ohkubo, M Yasuda, K Tanaka Journal of the Physical Society of Japan 75 (7), 074802-074802, 2006 | 16 | 2006 |
| Inverse problem in pairwise Markov random fields using loopy belief propagation M Yasuda, S Kataoka, K Tanaka Journal of the Physical Society of Japan 81 (4), 044801, 2012 | 15 | 2012 |
| A generalization of spatial monte carlo integration M Yasuda, K Uchizawa Neural Computation 33 (4), 1037-1062, 2021 | 12 | 2021 |
| Statistical analysis of loopy belief propagation in random fields M Yasuda, S Kataoka, K Tanaka Physical Review E 92 (4), 042120, 2015 | 12 | 2015 |
| Deep learning T Kamishima, E Aso, M Yasuda, S Maeda, D Okanohara Kindaikagakusha: Tokyo, Japan, 177, 2015 | 12 | 2015 |
| Bayesian image modeling by means of a generalized sparse prior and loopy belief propagation K Tanaka, M Yasuda, D Michael Titterington Journal of the Physical Society of Japan 81 (11), 114802, 2012 | 12 | 2012 |
| Statistical performance analysis by loopy belief propagation in Bayesian image modeling K Tanaka, S Kataoka, M Yasuda Journal of Physics: Conference Series 233 (1), 012013, 2010 | 12 | 2010 |
| Estimation system of blood pressure variation with photoplethysmography signals using multiple regression analysis and neural network SI Cho, T Negishi, M Tsuchiya, M Yasuda, M Yokoyama International Journal of Fuzzy Logic and Intelligent Systems 18 (4), 229-236, 2018 | 11 | 2018 |
| Statistical-mechanical iterative algorithms on complex networks J Ohkubo, M Yasuda, K Tanaka Physical Review E 72 (4), 046135, 2005 | 11 | 2005 |
| Learning algorithm of boltzmann machine based on spatial monte carlo integration method M Yasuda Algorithms 11 (4), 42, 2018 | 10 | 2018 |
| Statistical performance analysis in probabilistic image processing S Kataoka, M Yasuda, K Tanaka Journal of the Physical Society of Japan 79 (2), 025001, 2010 | 10 | 2010 |
