- 著者
-
桑谷 立
岡本 敦
吉田 健太
中村 謙吾
土屋 範芳
駒井 武
- 出版者
- 日本地球惑星科学連合
- 雑誌
- 日本地球惑星科学連合2018年大会
- 巻号頁・発行日
- 2018-03-14
The high-dimensional and large amounts of data sets in geosciences show very complex behavior and often have large uncertainty. It is important to extract a small number of essential parameters which can explain the phenomenon from high-dimensional data in order to understand the behavior of dynamic solid earth. Under the framework of a big scientific project entitled as “Initiative for high-dimensional data-driven science through deepening sparse modelling” supported by the MEXT in Japan ( http://sparse-modeling.jp/index_e.html ), we try to introduce data-driven approaches into geosciences. In this presentation, we will share some applications in solid-earth science and discuss future prospects.