Takehiko Yoshida

研究業績 1. Takehiko Yoshida, Makoto Ito, Morimura Tetsuro, Kazuyuki Samejima, Jiro Okuda, Junichiro Yoshi- moto, Kenji Doya, A study of decision-making for delayed and probabilis-tic reward, Special Interest Group on Bioinformatics and Genomics, IPSJ Okinawa, Japan 2008/6/27 2. Fermin, A., Yoshida, T., Tanaka, S., Ito, M., Yoshimoto, J., Doya, K. Reinforcement Learning Strategies for Sequential Action Learning. Neuroscience Research, 65, S236, 2009. 3. Alan Fermin,Takehiko Yoshida,Makoto Ito,Junichiro Yoshimoto &Kenji Doya, Evidence for Model-Based Action Planning in a Sequential Finger Movement Task. Journal of Motor Behavior Volume 42, 2010 4. Alan Fermin, Takehiko Yoshida, Makoto Ito, Junichiro Yoshimoto, Kenji Doya, Neural mechanisms for model-free and model-based reinforcement strategies in humans performing a multi-step navigation task. NEUROSCIENCE RESEARCH, 68 E285-E286, 2010 5. 宮西　一徳, 高野　雅典 and 吉田　岳彦, 大規模リワード広告システムにおける行動履歴と広告属性を利用したコンバージョン予測モデルの構築, 第29回人工知能学会大会, 2015 6. Fermin, A., Yoshida, T., Ito, M., Tanaka, S., Yoshimoto, J., Doya, K. Model-based action planning involves cortico-cerebellar and basal ganglia networks. Scientific reports, 2016 7. 吉田岳彦 & 伊藤寿基, 製品紹介文から意味を抽出したタグ付け機能の提案, 日本マーケティング学会, 2023/10/29 特許 1. 特願：2024-211882, 増分CPAの予測モデルを元にした広告予算の最適配分(2024)