The 102nd CSJ Annual Meeting

Presentation information

Symposium

Co-Innovation Program (CIP) » Informatics for every chemist: Fundamentals of machine/deep learning for predictive data analytics

[B302-1pm] Informatics for every chemist: Fundamentals of machine/deep learning for predictive data analytics

Wed. Mar 23, 2022 1:00 PM - 3:40 PM B302 (Online Meeting)

Chair, Symposium organizer: Hironobu Iyama, Hikaru Takaya, Kazuhiko Sato, Kazuhiro Matsumoto

1:00 PM - 2:00 PM

[B302-1pm-01] Statistical machine learning for inverse problems in materials research

Keynote Lecture

Ryo Yoshida Yoshida1 (1. The Institute of Statistical Mathematics)

[Lang.] Japanese

Keywords:Machine Learning, Forward and Inverse Problems, adaptive design of experiments, Probabilistic reasoning, Representation and generation