Makoto Yamada (Ph.D.)
Title
Unit Leader
Members
-
Unit LeaderMakoto Yamada
-
Postdoctoral ResearcherTam Thanh Le
-
Senior Visiting ScientistKenji Fukumizu
-
Senior Visiting ScientistShigeyuki Matsui
-
Visiting ScientistTaichiro Endo
-
Visiting ScientistMasaaki Imaizumi
-
Visiting ScientistYuta Itoh
-
Visiting ScientistHeewon Park
-
Visiting ScientistBenjamin Poignard
-
Technical Staff IDinesh 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
Transfer Learning
Laboratory Website URL
RIKEN Website URL
[Poster] FY2018 Research Results (Written in Japanese)
Related posts
posted on December 5, 2019 09:30Information
posted on September 11, 2019 12:00Information
posted on September 9, 2019 09:10Information
posted on May 16, 2019 13:52Information
posted on April 2, 2019 09:32Award
posted on February 25, 2019 11:22Award
posted on September 7, 2018 17:55Information
posted on April 20, 2018 11:39Award
posted on April 11, 2018 16:28Award
