Noda, Atsushi and Isozaki, Takashi
Practically effective adjustment variable selection in causal inferenceJ. Phys. Complex. | jan, 2025
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喜多島 知穂 and 飛鳥井 正道 and 末吉 隆彦 and 磯崎 隆司 and 前野 隆司
主観的ウェルビーイングの分析と構造化日本感性工学会論文誌 | Vol.20, pages 129-139, April, 2021
Toshiyuki Yasui, Takayuki Sueyoshi, Takashi Isozaki, Masamichi Asukai, Mami Yamakawa, Hiroyuki Egami, Yoko Honjo, and Takashi Maeno
Only hyperbolic discounting and gifted experimental consumption work for happiness on spending: inferring directly correlating factors to happiness on money by causal discovery algorithmIPPA 6th World Congress on Positive Psychology | July, 2019
Takashi Isozaki,
Fluctuation-Model-Based Discrete Probability Estimation for Small Samples,Open Journal of Statistics, | Vol.5, , pages 465-474, , 2015
Takashi Isozaki and Manabu Kuroki,
Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations,Advanced Methodologies for Bayesian Networks, | Vol.LNAI 9505, , pages 196-208, , 2015
Takashi Isozaki,
Combining Stage Algorithm for Discovering Causal Models,UAI Workshop on Causal Structure Learning 2012, | August, 2012
Takashi Isozaki,
Learning Causal Bayesian Networks Using Minimum Free Energy Principle,New Generation Computing, | Vol.30, , pages 17-52, , January, 2012
磯崎隆司,
ベイジアンネットワークにおける因果発見,人工知能学会誌, | 人工知能学会, | Vol.25, , pages 811-818, , November, 2010