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Latent Factor Analysis of High-Dimensional Brain Imaging Data
Latent Factor Analysis of High-Dimensional Brain Imaging Data
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534651423
- DDC
- 616
- 저자명
- Gao, Siyuan.
- 서명/저자
- Latent Factor Analysis of High-Dimensional Brain Imaging Data
- 발행사항
- [Sl] : Yale University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 115 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Scheinost, Dustin.
- 학위논문주기
- Thesis (Ph.D.)--Yale University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Neurosciences
- 일반주제명
- Mathematics
- 일반주제명
- Computer science
- 일반주제명
- Medical imaging
- 일반주제명
- Behavior
- 일반주제명
- Accuracy
- 일반주제명
- Datasets
- 일반주제명
- Memory
- 일반주제명
- Brain research
- 일반주제명
- Flexibility
- 일반주제명
- Methods
- 일반주제명
- Correlation analysis
- 일반주제명
- Algorithms
- 일반주제명
- Clustering
- 일반주제명
- Time series
- 일반주제명
- Intelligence
- 키워드
- Prediction
- 기타저자
- Yale University Biomedical Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798534651423
■035 ▼a(MiAaPQ)AAI28319254
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aGao, Siyuan.
■24510▼aLatent Factor Analysis of High-Dimensional Brain Imaging Data
■260 ▼a[Sl]▼bYale University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a115 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Scheinost, Dustin.
■5021 ▼aThesis (Ph.D.)--Yale University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0265.
■650 4▼aNeurosciences
■650 4▼aMathematics
■650 4▼aComputer science
■650 4▼aMedical imaging
■650 4▼aBehavior
■650 4▼aAccuracy
■650 4▼aPrincipal components analysis
■650 4▼aDatasets
■650 4▼aMemory
■650 4▼aBrain research
■650 4▼aFlexibility
■650 4▼aMethods
■650 4▼aCorrelation analysis
■650 4▼aAlgorithms
■650 4▼aClustering
■650 4▼aTime series
■650 4▼aIntelligence
■653 ▼aFunctional magnetic resonance imaging
■653 ▼aFunctional connectivity
■653 ▼aLow-dimensional representation
■653 ▼aPrediction
■690 ▼a0317
■690 ▼a0405
■690 ▼a0984
■690 ▼a0574
■71020▼aYale University▼bBiomedical Engineering.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0265
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051247▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
