Makoto Yamada
Makoto Yamada (Ph.D.)
Title
Team Leader

Introduction

Laboratory's photo

[CLOSED] We are focusing on developing machine learning algorithm for large p and small n problems such as biomarker discovery and toxicogenomics prediction. In particular, we are interested in nonlinear feature selection algorithms for such high-dimensional data, and proposing simple yet efficient algorithms. Ultimately, we want to build a machine learning framework to automatically find an important information from data.

Main Research Field
Computer Science
Research Subjects
High-dimensional Feature Selection
Transfer Learning
Laboratory Website URL
RIKEN Website URL

Introduction Video

Talk by Cheng Wang, Shanghai Jiao Tong University on On the computational and theoretical analysis of high dimensional precision matrix estimation thumbnails
Poster(s)

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