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Energy-Efficient Implementation of Machine Learning Algorithms
Energy-Efficient Implementation of Machine Learning Algorithms
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093610
- ISBN
- 9798471106895
- DDC
- 621.3
- 저자명
- Lu, Jie.
- 서명/저자
- Energy-Efficient Implementation of Machine Learning Algorithms
- 발행사항
- [Sl] : Princeton University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 148 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
- 주기사항
- Advisor: Jha, Niraj K;Verma, Naveen.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Electrical engineering
- 일반주제명
- Computer engineering
- 일반주제명
- Applied mathematics
- 일반주제명
- Artificial intelligence
- 키워드
- Energy reduction
- 키워드
- Machine learning
- 기타저자
- Princeton University Electrical Engineering
- 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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■020 ▼a9798471106895
■035 ▼a(MiAaPQ)AAI28643572
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aLu, Jie.
■24510▼aEnergy-Efficient Implementation of Machine Learning Algorithms
■260 ▼a[Sl]▼bPrinceton University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a148 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-04, Section: B.
■500 ▼aAdvisor: Jha, Niraj K;Verma, Naveen.
■5021 ▼aThesis (Ph.D.)--Princeton University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0181.
■650 4▼aElectrical engineering
■650 4▼aComputer engineering
■650 4▼aApplied mathematics
■650 4▼aArtificial intelligence
■653 ▼aApproximate learning
■653 ▼aConvolutional neural networks
■653 ▼aEnergy reduction
■653 ▼aMachine learning
■653 ▼aMulti-task images
■653 ▼aTransfer learning
■690 ▼a0544
■690 ▼a0464
■690 ▼a0800
■690 ▼a0364
■71020▼aPrinceton University▼bElectrical Engineering.
■7730 ▼tDissertations Abstracts International▼g83-04B.
■773 ▼tDissertation Abstract International
■790 ▼a0181
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053124▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
