Study on Nonlinear Regression with Missing Values Based on Hybrid Models Using Quasi-Linear Kernel

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Study on Nonlinear Regression with Missing Values Based on Hybrid Models Using Quasi-Linear Kernel

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Material Type: 博士論文
Title: Study on Nonlinear Regression with Missing Values Based on Hybrid Models Using Quasi-Linear Kernel
Author/Editor: 朱, 慧琳
Zhu, Huilin
Author Heading: 朱, 慧琳
Zhu, Huilin
Publication Date: 2022
Publication Date (W3CDTF): 2022
Alternative Title: 準線形カーネルを用いたハイブリッドモデルに基づく欠損値ありの非線形回帰に関する研究
Pages: 1-103
Degree grantor/type: 早稲田大学
Date Granted: 2022-11-21
Dissertation Number: 甲第6755号
Degree Type: 博士(工学)
Text Language Code: eng
Target Audience: 一般
Note (General): 早大学位記番号:新9167
Format (IMT): application/pdf
Source: Honbun-9167.pdf （fulltext）
https://waseda.repo.nii.ac.jp/record/78407/files/Honbun-9167.pdf
Access Restrictions: インターネット公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 早稲田大学 : 早稲田大学リポジトリ