Takashi Takenouchi (Ph.D.)
Title
Team Leader

Introduction

Laboratory's photo

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
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