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Kyoto University
Scalable Estimation on Linear and Nonlinear Regression Models via Decentralized Processing: Adaptive LMS Filter and Gaussian Process Regression
Degree
thesis:*- Grantor dc:publisher
- Kyoto University
- Year dc:date.issued
- 2021
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Nakai, Ayano
Subjects
dc:subject × 5Rights
dc:rights- Statement dc:rights
-
- 学位規則第9条第2項により要約公開
- 許諾条件により本文は2024-06-12に公開
- 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.
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/2433/266686
- OAI identifier oai:identifier
- oai:repository.kulib.kyoto-u.ac.jp:2433/266686