Design of Precompensator of Linear Multivariable Systems for the Diagonal Interactor using Markov Parameters. - Yashuhiko Mutoh; Kenji Nagata (Modelling, Simulation, and Optimization, 2003)

A Model Selection Method Based on Bound of Learning Coefficient. - Keisuke Yamazaki; Kenji Nagata; Sumio Watanabe; Klaus-Robert Müller (ICANN (2), 2006)

Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models. - Kenji Nagata; Sumio Watanabe (IDEAL, 2006)

The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines. - Kenji Nagata; Sumio Watanabe (IJCNN, 2006)

Analysis of Exchange Ratio for Exchange Monte Carlo Method. - Kenji Nagata; Sumio Watanabe (FOCI, 2007)

Algebraic Geometric Study of Exchange Monte Carlo Method. - Kenji Nagata; Sumio Watanabe (ICANN (1), 2007)

Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. - Kenji Nagata; Sumio Watanabe (ICONIP (2), 2007)

Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models. - Kenji Nagata; Sumio Watanabe (ICONIP (1), 2008)

Asymptotic behavior of exchange ratio in exchange Monte Carlo method. - Kenji Nagata; Sumio Watanabe (Neural Networks, 2008)

Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. - Kenji Nagata; Sumio Watanabe (IEEE Trans. Neural Networks, 2008)

Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity. - Miki Aoyagi; Kenji Nagata (Neural Comput., 2012)

Bayesian spectral deconvolution with the exchange Monte Carlo method. - Kenji Nagata; Seiji Sugita; Masato Okada (Neural Networks, 2012)

Simultaneous estimation of noise variance and number of peaks in Bayesian spectral deconvolution. - Satoru Tokuda; Kenji Nagata; Masato Okada (CoRR, 2016)

Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA). - Kenji Nagata; Yoh-ichi Mototake; Rei Muraoka; Takehiko Sasaki; Masato Okada (CoRR, 2018)

Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model. - Tomohiro Nabika; Kenji Nagata; Shun Katakami; Masaichiro Mizumaki; Masato Okada (CoRR, 2023)

Sequential Exchange Monte Carlo: Sampling Method for Multimodal Distribution without Parameter Tuning. - Tomohiro Nabika; Kenji Nagata; Shun Katakami; Masaichiro Mizumaki; Masato Okada (CoRR, 2025)