Takashi Takenouchi (Ph.D.)
Title
Team Leader
Members
-
Team LeaderTakashi Takenouchi
Introduction
[CLOSED] Probabilistic models are widely applicable to represent various kinds of phenomena and data, and appropriate estimation of parameters is an important issue for precise inference. Our target is models for which conventional methods cannot be easily applicable, and our purpose is to construct a framework of estimation having “good” statistical properties, by utilizing local information of models and information geometric properties.
Main Research Field
Engineering
Research Field
Computer Science / Mathematics
Research Subjects
Statistical Machine Learning
Information Geometry
Information Geometry
RIKEN Website URL
Poster(s)
- FY2019 Research Results (Japanese Version)
- FY2018 Research Results (Japanese Version)
Related posts
posted on March 13, 2020 11:25Information
