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djohk00782.pdfDissertation_全文5.74 MBAdobe PDF見る/開く
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dc.contributor.authorNakai, Ayanoen
dc.contributor.alternative中井, 彩乃ja
dc.contributor.transcriptionナカイ, アヤノja-Kana
dc.date.accessioned2021-12-23T06:00:41Z-
dc.date.available2021-12-23T06:00:41Z-
dc.date.issued2021-11-24-
dc.identifier.urihttp://hdl.handle.net/2433/266686-
dc.language.isoeng-
dc.publisherKyoto Universityen
dc.publisher.alternative京都大学ja
dc.rights学位規則第9条第2項により要約公開ja
dc.rightsIn 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.en
dc.rights許諾条件により本文は2024-06-12に公開ja
dc.subjectDecentralized processingen
dc.subjectAdaptive filtersen
dc.subjectGaussian process regressionen
dc.subjectScalabilityen
dc.subjectLinear sketchingen
dc.subject.ndc007-
dc.titleScalable Estimation on Linear and Nonlinear Regression Models via Decentralized Processing: Adaptive LMS Filter and Gaussian Process Regressionen
dc.title.alternative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ja
dc.typedoctoral thesis-
dc.type.niitypeThesis or Dissertation-
dc.textversionETD-
dc.description.degreegrantor京都大学ja
dc.description.degreelevel新制・課程博士-
dc.description.degreediscipline博士(情報学)ja
dc.description.degreereportnumber甲第23588号-
dc.description.degreenumber情博第782号-
dc.description.degreekucallnumber新制||情||133(附属図書館)-
dc.date.granted2021-11-24-
dc.description.degreeaffiliation京都大学大学院情報学研究科システム科学専攻-
dc.description.degreeexamcommittee(主査)教授 田中 利幸, 教授 下平 英寿, 准教授 櫻間 一徳-
dc.description.degreeprovision学位規則第4条第1項該当-
dc.identifier.selfDOI10.14989/doctor.k23588-
dcterms.accessRightsopen access-
datacite.date.available2024-06-12-
dc.description.degreediscipline-enDoctor of Informaticsen
dc.identifier.degreegrantorID14301-
dc.description.degreegrantor-enKyoto Universityen
dc.description.degreeObjectTypeDFAM-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.Name田中, 利幸ja
jpcoar.contributor.Name下平, 英寿ja
jpcoar.contributor.Name櫻間, 一徳ja
出現コレクション:140 博士(情報学)

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