[K202-4am] 02. Theoretical Chemistry, Chemoinformatics, and Computational Chemistry

[K202-4am-07] Reliability evaluation of variable selection using Bayesian inference in a small number of chemical experimental data for nanosheet yield prediction

^○Yuki Namiuchi¹, Yuka Kitamura², Koki Obinata³, Yuya Oaki², Masato Okada ³, Yasuhiko Igarashi¹ (1. Th Univ. of Tsukuba, 2. The Univ. of Keio, 3. The Univ. of Tokyo)

[Lang.] Japanese

Keywords:nanosheet, machine learning, bayesian interface, sparse modeling