Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes. - Yuta Nakahara; Shota Saito; Naoki Ichijo; Koki Kazama; Toshiyasu Matsushima (CoRR, 2023)

Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems. - Naoki Ichijo; Ryota Maniwa; Yuta Nakahara; Koshi Shimada; Toshiyasu Matsushima (ISITA, 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 (SMC, 2024)

Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees. - Ryota Maniwa; Naoki Ichijo; Yuta Nakahara; Toshiyasu Matsushima (CoRR, 2024)

An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process. - Keito Tajima; Naoki Ichijo; Yuta Nakahara; Toshiyasu Matsushima (CoRR, 2024)

Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability. - Yuta Nakahara; Shota Saito; Naoki Ichijo; Koki Kazama; Toshiyasu Matsushima (AISTATS, 2025)