Makoto Yamada (Ph.D.)
Title
Team Leader
Members
-
Team leaderMakoto Yamada
-
Postdoctoral researcherPeter Naylor
-
Senior visiting scientistShigeyuki Matsui
-
Senior visiting scientistKenji Fukumizu
-
Visiting scientistHisashi Kashima
-
Visiting scientistHidetoshi Shimodaira
-
Visiting scientistAkifumi Okuno
-
Visiting scientistJunya Honda
-
Visiting scientistYoshikazu Terada
-
Visiting scientistHeewon Park
-
Visiting scientistYuta Itoh
-
Visiting scientistSho Yokoi
-
Visiting scientistMasaaki Imaizumi
-
Visiting scientistTaichiro Endo
-
Visiting scientistBenjamin Poignard
-
Part-time worker IKenta Kihara
-
Part-time worker IYihua Zhu
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
Introduction Video
Poster(s)
- FY2022 Research Results(PDF 13.08MB)(Japanese version)
- FY2021 Research Results(PDF 8.38MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Related posts
posted on September 8, 2022 08:25Seminar
posted on June 21, 2022 19:02Seminar
posted on May 23, 2022 10:51Information
posted on March 7, 2022 10:26Seminar
posted on January 26, 2022 23:43Seminar
posted on January 24, 2022 08:52Information
posted on December 22, 2021 10:01Seminar
posted on October 29, 2021 09:51Seminar
posted on October 11, 2021 17:38Seminar
posted on October 13, 2021 14:01Seminar
posted on October 8, 2021 16:33Information
posted on October 4, 2021 15:37Seminar
posted on September 21, 2021 09:03Seminar
posted on July 25, 2021 08:57Seminar
posted on July 26, 2021 07:50Seminar
posted on July 26, 2021 21:00Seminar
posted on August 1, 2021 13:39Seminar
posted on May 21, 2021 15:49Information
posted on April 7, 2021 16:45Seminar
posted on March 29, 2021 13:54Seminar
posted on January 29, 2021 13:48Information
posted on November 24, 2020 15:04Seminar
posted on October 2, 2020 09:00Information
posted on June 3, 2020 14:03Information
posted on July 16, 2020 15:15Information
posted on March 13, 2020 11:25Information
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