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

Members

  • Team leader
    Makoto Yamada
  • Special postdoctoral researcher
    Hector Climente
  • Postdoctoral researcher
    Peter Naylor
  • Senior visiting scientist
    Shigeyuki Matsui
  • Senior visiting scientist
    Kenji Fukumizu
  • Visiting scientist
    Hisashi Kashima
  • Visiting scientist
    Hidetoshi Shimodaira
  • Visiting scientist
    Akifumi Okuno
  • Visiting scientist
    Junya Honda
  • Visiting scientist
    Yoshikazu Terada
  • Visiting scientist
    Heewon Park
  • Visiting scientist
    Yuta Itoh
  • Visiting scientist
    Sho Yokoi
  • Visiting scientist
    Masaaki Imaizumi
  • Visiting scientist
    Taichiro Endo
  • Visiting scientist
    Benjamin Poignard
  • Part-time worker I
    Kenta Kihara
  • Part-time worker I
    Runsen Li
  • Part-time worker I
    Kazuya Suzuki

Introduction

Laboratory's photo

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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