Yuta Nakahara

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Theoretical Analysis of the Advantage of Deepening Neural Networks pdf

Toshiyasu Matsushima, Yasushi Esaki, Yuta Nakahara, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

Probability Distribution on Full Rooted Trees pdf

Toshiyasu Matsushima, Shota Saito, Yuta Nakahara, 2021, Entropy.

Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes

Shota Saito, T. Matsushima, N. Ichijo, 2023, ArXiv.

Batch Updating of a Posterior Tree Distribution over a Meta-Tree

T. Matsushima, Yuta Nakahara, 2023, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

Hyperparameter Learning of Bayesian Context Tree Models

Shota Saito, T. Matsushima, Yuta Nakahara, 2023, 2023 IEEE International Symposium on Information Theory (ISIT).

Bayes code for two-dimensional auto-regressive hidden Markov model and its application to lossless image compression

Toshiyasu Matsushima, Yuta Nakahara, T. Matsushima, 2020, Other Conferences.

Bayes optimal estimation and its approximation algorithm for difference with and without treatment under IRSLC model

Shota Saito, Yuta Nakahara, Taisuke Ishiwatari, 2023, International Journal of Data Science and Analytics.

Cluster’s Number Free Bayes Prediction of General Framework on Mixture of Regression Models

Shota Saito, T. Matsushima, Yuta Nakahara, 2021, Journal of Statistical Theory and Applications.