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Model Combinations and the Infinitesimal Jackknife: How to Refine Models with Boosting and Quantify Uncertainty
Model Combinations and the Infinitesimal Jackknife: How to Refine Models with Boosting and Quantify Uncertainty
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798460415168
- DDC
- 310
- 서명/저자
- Model Combinations and the Infinitesimal Jackknife: How to Refine Models with Boosting and Quantify Uncertainty
- 발행사항
- [Sl] : Cornell University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 204 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
- 주기사항
- Advisor: Hooker, Giles.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Statistics
- 키워드
- Model Comparison
- 키워드
- Newton boosting
- 키워드
- U-statistics
- 기타저자
- Cornell University Statistics
- 기본자료저록
- Dissertations Abstracts International. 83-04B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aGhosal, Indrayudh.▼0(orcid)0000-0001-6497-5905
■24510▼aModel Combinations and the Infinitesimal Jackknife: How to Refine Models with Boosting and Quantify Uncertainty
■260 ▼a[Sl]▼bCornell University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a204 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-04, Section: B.
■500 ▼aAdvisor: Hooker, Giles.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0058.
■650 4▼aStatistics
■653 ▼aInfinitesimal Jackknife
■653 ▼aInterpretable machine learning
■653 ▼aModel Comparison
■653 ▼aNewton boosting
■653 ▼aU-statistics
■653 ▼aUncertainty Quantification
■690 ▼a0463
■71020▼aCornell University▼bStatistics.
■7730 ▼tDissertations Abstracts International▼g83-04B.
■773 ▼tDissertation Abstract International
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053315▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
