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djohk00890.pdfDissertation_全文22.46 MBAdobe PDF見る/開く
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dc.contributor.authorPeng, Siqien
dc.contributor.alternative彭, 思棋ja
dc.contributor.transcriptionホウ, シキja-Kana
dc.date.accessioned2025-03-28T06:50:29Z-
dc.date.available2025-03-28T06:50:29Z-
dc.date.issued2024-09-24-
dc.identifier.urihttp://hdl.handle.net/2433/292841-
dc.language.isoeng-
dc.publisherKyoto Universityen
dc.publisher.alternative京都大学ja
dc.rightsThe content of the thesis contains materials from the following publications in JIP (Journal of Information Processing). ; [1] Peng, S., & Yamamoto, A. (2023). Z-tca: fast algorithm for triadic concept analysis using zero-suppressed decision diagrams. Journal of Information Processing, 31:722-733. DOI: https://doi.org/10.2197/ipsjjip.31.722; [2] Peng, S., & Yamamoto, A. (2024). Concept lattice reduction using integer programming. Journal of Information Processing, 32 [The paper will be published in September, 2024] ; The copyright of the materials above is retained by the Information Processing Society of Japan (IPSJ). These materials are published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof.; All Rights Reserved, Copyright (C) Information Processing Society of Japan. ;Comments are welcome. Mail to address editj@ipsj.or.jp, please.; The content of the thesis also contains materials from the following publications in PLOS ONE. These materials apply the Creative Commons Attribution 4.0 International (CC BY) license.; [1] Peng, S., Yamamoto, A., & Ito, K. (2023). Link prediction on bipartite networks using matrix factorization with negative sample selection. PLOS ONE, 18(8): e0289568. ; DOI: https://doi.org/10.1371/journal.pone.0289568; [2] Peng, S., Yang, H., & Yamamoto, A. (2024). BERT4FCA: A method for bipartite link prediction using formal concept analysis and BERT. PLOS ONE, 19(6): e0304858. ; DOI: https://doi.org/10.1371/journal.pone.0304858en
dc.subjectFormal Concept Analysisen
dc.subjectTriadic Concept Analysisen
dc.subjectZDDen
dc.subjectInteger Programmingen
dc.subjectBipartite Link Predictionen
dc.subjectBERTen
dc.subjectStatistical Machine Learningen
dc.subject.ndc7-
dc.titleStudies on Several Methods for Integrating Formal Concept Analysis and Statistical Machine Learningen
dc.title.alternative形式概念分析と統計的機械学習を統合するためのいくつかの手法に関する研究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25634号-
dc.description.degreenumber情博第890号-
dc.description.degreekucallnumber新制||情||149(附属図書館)-
dc.date.granted2024-09-24-
dc.description.degreeaffiliation京都大学大学院情報学研究科知能情報学専攻-
dc.description.degreeexamcommittee(主査)教授 山本 章博, 教授 鹿島 久嗣, 教授 阿久津 達也-
dc.description.degreeprovision学位規則第4条第1項該当-
dc.identifier.selfDOI10.14989/doctor.k25634-
dcterms.accessRightsopen access-
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山本, 章博ja
jpcoar.contributor.Name鹿島, 久嗣ja
jpcoar.contributor.Name阿久津, 達也ja
出現コレクション:140 博士(情報学)

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