Hilbert-Schmidt Independence Criterion Lasso 法に基づいた高次元非線形特徴選択 (特集 スパース推定の最近の動向 : 新たな方法と理論の展開)
Digital data available（Japan Link Center）
Begin reading now
CiNii Research
Holdings of Libraries in Japan
This page shows libraries in Japan other than the National Diet Library that hold the material.
Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.
other
CiNii Research
Search ServiceDigitalYou can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.
Bibliographic Record
You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.
- Material Type
- 記事
- Author/Editor
- 山田 誠Benjamin Poignard山田 宏暁Tobias Freidling
- Series Title
- Author Heading
- Alternative Title
- High-Dimensional Nonlinear Feature Selection with Hilbert-Schmidt Independence Criterion Lasso
- Periodical title
- 日本統計学会誌 = Journal of the Japan Statistical Society / 日本統計学会 編
- No. or year of volume/issue
- 53(1):2023.9
- Volume
- 53
- Issue
- 1