High-Dimensional Statistical Modeling Team

Makoto Yamada (Ph.D.)

Title

Team Leader

Members

Team Leader

Makoto Yamada
Postdoctoral Researcher

Tam Thanh Le
Senior Visiting Scientist

Kenji Fukumizu
Senior Visiting Scientist

Shigeyuki Matsui
Visiting Scientist

Taichiro Endo
Visiting Scientist

Masaaki Imaizumi
Visiting Scientist

Yuta Itoh
Visiting Scientist

Hisashi Kashima
Visiting Scientist

Heewon Park
Visiting Scientist

Benjamin Poignard
Technical Staff I

Dinesh Singh

Introduction

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

https://riken-yamada.github.io/

RIKEN Website URL

http://www.riken.jp/en/research/labs/aip/generic_tech/highdim_stat_model/