Koshi Shimada

According to our database, Koshi Shimada authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

An Efficient Bayes Coding Algorithm for Changing Context Tree Model.

Koshi Shimada, Shota Saito, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process.

Keito Tajima, Naoki Ichijo, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

An Efficient Image Segmentation Algorithm Based on Bayes Decision Theory and its Application for Region Detection.

Yilun Wang, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2024

Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems.

Naoki Ichijo, Ryota Maniwa, Yuta Nakahara, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2024

2023

Hyperparameter Learning of Bayesian Context Tree Models.

Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2023

2021

An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval.

Koshi Shimada, Shota Saito, Toshiyasu Matsushima

Proceedings of the IEEE Information Theory Workshop, 2021

Weather Map Prediction Using RGB Metaphorical Feature Extraction for Atmospheric Pressure Patterns.

Takeru Hakii, Koshi Shimada, Takafumi Nakanishi, Ryotaro Okada, Keigo Matsuda, Ryo Onishi, Keiko Takahashi

Proceedings of the 19th IEEE/ACIS International Conference on Computer and Information Science, 2021