Keisuke Yamazaki

According to our database, Keisuke Yamazaki authored at least 45 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Geometric Surrogate for Simulation Calibration.

Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Validation of a Property Estimation Method Based on Sequential and Posteriori Estimation.

Tomoya Kitamura, Atsumi Saito, Keisuke Yamazaki, Yuki Saito, Hiroshi Asai, Kouhei Ohnishi

Proceedings of the IECON 2022, 2022

Visual-only Voice Activity Detection using Human Motion in Conference Video.

Keisuke Yamazaki, Satoshi Tamura, Yuuto Gotoh, Masaki Nose

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Individual-based epidemiological model of COVID19 using location data.

Yoriyuki Yamagata, Shunki Takami, Keisuke Yamazaki, Tomoki Nakaya, Masaki Onishi

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Detecting aggressive agents in egress process by using conflict data in cellular automaton model.

Daichi Yanagisawa, Keisuke Yamazaki

J. Intell. Transp. Syst., 2021

Conditional Drive Environment Translation using StarGAN with CBIN.

Rina Komatsu, Keisuke Yamazaki

Proceedings of the AICCC 2021: 4th Artificial Intelligence and Cloud Computing Conference, Kyoto, Japan, December 17, 2021

2020

Model Bridging: Connection Between Simulation Model and Neural Network.

Keiichi Kisamori, Keisuke Yamazaki, Yuto Komori, Hiroshi Tokieda

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Simulator Calibration under Covariate Shift with Kernels.

Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Hidden Node Detection between Observable Nodes Based on Bayesian Clustering.

Keisuke Yamazaki, Yoichi Motomura

Entropy, 2019

Model Bridging: To Interpretable Simulation Model From Neural Network.

Keiichi Kisamori, Keisuke Yamazaki

CoRR, 2019

2018

Bayesian estimation of multidimensional latent variables and its asymptotic accuracy.

Keisuke Yamazaki

Neural Networks, 2018

Intractable Likelihood Regression for Covariate Shift by Kernel Mean Embedding.

Keiichi Kisamori, Keisuke Yamazaki

CoRR, 2018

Kernel Recursive ABC: Point Estimation with Intractable Likelihood.

Takafumi Kajihara, Motonobu Kanagawa, Keisuke Yamazaki, Kenji Fukumizu

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Effects of additional data on Bayesian clustering.

Keisuke Yamazaki

Neural Networks, 2017

A Risk Information Provision System on Bicycle Parking Lots.

Keisuke Yamazaki, Tsuyoshi Nakajima

Proceedings of the 2017 IEEE International Congress on Internet of Things, 2017

Hidden Node Detection between Two Observable Nodes Based on Bayesian Clustering.

Keisuke Yamazaki, Yoichi Motomura

Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016

Asymptotic accuracy of Bayes estimation for latent variables with redundancy.

Keisuke Yamazaki

Mach. Learn., 2016

2015

Asymptotic accuracy of Bayesian estimation for a single latent variable.

Keisuke Yamazaki

Neural Networks, 2015

Accuracy of latent-variable estimation in Bayesian semi-supervised learning.

Keisuke Yamazaki

Neural Networks, 2015

On the Optimal Hyperparameter Behavior in Bayesian Clustering.

Keisuke Yamazaki

J. Adv. Comput. Intell. Intell. Informatics, 2015

Accuracy analysis of semi-supervised classification when the class balance changes.

Keisuke Yamazaki

Neurocomputing, 2015

2014

Asymptotic accuracy of distribution-based estimation of latent variables.

Keisuke Yamazaki

J. Mach. Learn. Res., 2014

On Bayesian Clustering with a Structured Gaussian Mixture.

Keisuke Yamazaki

J. Adv. Comput. Intell. Intell. Informatics, 2014

Asymptotic Marginal Likelihood on Linear Dynamical Systems.

Takuto Naito, Keisuke Yamazaki

IEICE Trans. Inf. Syst., 2014

The optimal hyperparameter for Bayesian clustering and its application to the evaluation of clustering results.

Keisuke Yamazaki

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Two statistical methods for grouping vehicles in traffic flow based on probabilistic cellular automata.

Fumito Nakamura, Keisuke Yamazaki

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2013

Comparing two Bayes methods based on the free energy functions in Bernoulli mixtures.

Keisuke Yamazaki, Daisuke Kaji

Neural Networks, 2013

A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis.

Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

2012

On equivalent parameter learning in simplified feature space based on Bayesian asymptotic analysis.

Keisuke Yamazaki

Neural Networks, 2012

MCMC sampling on latent-variable space of mixture of probabilistic PCA.

Keisuke Yamazaki

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Accuracy of latent variable estimation with the maximum likelihood estimator for partially observed hidden data.

Keisuke Yamazaki

Proceedings of the International Symposium on Information Theory and its Applications, 2012

Parameter estimation accuracy and active learning in the zero-range process.

Koichi Kobayashi, Keisuke Yamazaki

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2011

An asymptotic analysis of Bayesian state estimation in hidden Markov models.

Keisuke Yamazaki

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

Asymptotic analysis of Bayesian generalization error with Newton diagram.

Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe

Neural Networks, 2010

2009

A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems.

Takuto Naito, Keisuke Yamazaki

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

An Analysis of Generalization Error in Relevant Subtask Learning.

Keisuke Yamazaki, Samuel Kaski

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift.

Keisuke Yamazaki, Sumio Watanabe

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Asymptotic Bayesian generalization error when training and test distributions are different.

Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller

Proceedings of the Machine Learning, 2007

2006

A Model Selection Method Based on Bound of Learning Coefficient.

Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller

Proceedings of the Artificial Neural Networks, 2006

2005

Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities.

Keisuke Yamazaki, Sumio Watanabe

IEEE Trans. Neural Networks, 2005

Algebraic geometry and stochastic complexity of hidden Markov models.

Keisuke Yamazaki, Sumio Watanabe

Neurocomputing, 2005

2004

Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions.

Keisuke Yamazaki, Sumio Watanabe

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003

Singularities in mixture models and upper bounds of stochastic complexity.

Keisuke Yamazaki, Sumio Watanabe

Neural Networks, 2003

Stochastic Complexity of Bayesian Networks.

Keisuke Yamazaki, Sumio Watanabe

Proceedings of the UAI '03, 2003

Stochastic complexities of hidden Markov models.

Keisuke Yamazaki, Sumio Watanabe

Proceedings of the NNSP 2003, 2003