分散処理による線形・非線形回帰モデルでのスケーラブルな推定：適応LMSフィルタとガウス過程回帰

• Material Type: 博士論文
• Title: 分散処理による線形・非線形回帰モデルでのスケーラブルな推定：適応LMSフィルタとガウス過程回帰
• Author/Editor: 中井, 彩乃
• Author Heading: 中井, 彩乃 ナカイ, アヤノ
• Publication, Distribution, etc.: Kyoto University
• Publication Date: 2021-11-24
• Publication Date (W3CDTF): 2021-11-24
• Alternative Title: Scalable Estimation on Linear and Nonlinear Regression Models via Decentralized Processing: Adaptive LMS Filter and Gaussian Process Regression
• Contributor: 田中, 利幸; 下平, 英寿; 櫻間, 一徳
• Degree grantor/type: 京都大学
• Date Granted: 2021-11-24
• Dissertation Number: 甲第23588号
• Degree Type: 博士(情報学); Doctor of Informatics
• Text Language Code: eng
• Subject Heading: Decentralized processing; Adaptive filters; Gaussian process regression; Scalability; Linear sketching
• NDC: 007
• Target Audience: 一般
• DOI: 10.14989/doctor.k23588
• Format (IMT): application/pdf
• Access Restrictions: インターネット公開
• Rights (production): 学位規則第9条第2項により要約公開; In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University’s products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. If applicable, University Microfilms and/or ProQuest Library, or the Archives of Canada may supply single copies of the dissertation.; Part I in this dissertation is based on ""An acceleration method of sparse diffusion LMS based on message propagation"" [1], by the same author, which appeared in IEICE Transactions on Communications, Copyright ©2021 IEICE. The material in this dissertation was presented in part at IEICE Transactions on Communications [1], and a part of the figures of this dissertation is reused from [1] under the permission of the IEICE.; Part Ⅱ: Reproduced with permission from Springer Nature.
• 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): 京都大学 : 京都大学学術情報リポジトリ

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