Makoto Yamada (Ph.D.)
Title
Unit Leader

Members

  • Unit Leader
    Makoto Yamada
  • Postdoctoral Researcher
    Tam Thanh Le
  • Senior Visiting Scientist
    Shigeyuki Matsui
  • Senior Visiting Scientist
    Kenji Fukumizu
  • Visiting Scientist
    Masaaki Imaizumi
  • Visiting Scientist
    Yuta Itoh
  • Visiting Scientist
    Heewon Park
  • Visiting Scientist
    Taichiro Endo
  • Technical Staff I
    Jun Lu

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
https://riken-yamada.github.io/
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/highdim_stat_model/
Related posts
posted on September 7, 2018 17:55Information
Twelve papers are accepted at NIPS 2018
posted on April 20, 2018 11:39Information
Visiting Scientist Yuta Itoh to receive Honorable Mention Award at CHI 2018
posted on April 11, 2018 16:28Information
Masaaki Imaizumi and Takanori Maehara receive AISTATS 2018 Best Paper Award