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Statistical Perspectives on Modern Network Embedding Methods.
Statistical Perspectives on Modern Network Embedding Methods.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016617614
- International Standard Book Number
- 9798819370414
- Dewey Decimal Classification Number
- 310
- Main Entry-Personal Name
- Davison, Andrew.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Columbia University., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 288 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
- General Note
- Advisor: Zheng, Tian.
- Dissertation Note
- Thesis (Ph.D.)--Columbia University, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Artificial intelligence.
- Index Term-Uncontrolled
- Embeddings
- Index Term-Uncontrolled
- Graphons
- Index Term-Uncontrolled
- Networks
- Index Term-Uncontrolled
- Representation learning
- Index Term-Uncontrolled
- Gradient updates
- Index Term-Uncontrolled
- Network subsampling
- Added Entry-Corporate Name
- Columbia University Statistics
- Host Item Entry
- Dissertations Abstracts International. 83-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:623858
MARC
008230216s2022 ulk 00 kor■001000016617614
■00520230206105121
■020 ▼a9798819370414
■035 ▼a(MiAaPQ)AAI29215859
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aDavison, Andrew.
■24510▼aStatistical Perspectives on Modern Network Embedding Methods.
■260 ▼a[S.l.]▼bColumbia University. ▼c2022
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2022
■300 ▼a288 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-12, Section: B.
■500 ▼aAdvisor: Zheng, Tian.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2022.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0054.
■650 4▼aStatistics.
■650 4▼aComputer science.
■650 4▼aArtificial intelligence.
■653 ▼aEmbeddings
■653 ▼aGraphons
■653 ▼aNetworks
■653 ▼aRepresentation learning
■653 ▼aGradient updates
■653 ▼aNetwork subsampling
■690 ▼a0463
■690 ▼a0984
■690 ▼a0800
■71020▼aColumbia University▼bStatistics.
■7730 ▼tDissertations Abstracts International▼g83-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2022
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16617614▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202302▼f2023
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