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Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test
Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test
Detailed Information
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094238
- ISBN
- 9798492753658
- DDC
- 621.3
- 저자명
- Hu, Hanbin.
- 서명/저자
- Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test
- 발행사항
- [Sl] : University of California, Santa Barbara, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 192 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Li, Peng.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Santa Barbara, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer engineering
- 일반주제명
- Artificial intelligence
- 일반주제명
- Computer science
- 키워드
- Machine learning
- 기타저자
- University of California, Santa Barbara Electrical & Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210094238
■020 ▼a9798492753658
■035 ▼a(MiAaPQ)AAI28718099
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aHu, Hanbin.
■24510▼aMachine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test
■260 ▼a[Sl]▼bUniversity of California, Santa Barbara▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a192 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-05, Section: B.
■500 ▼aAdvisor: Li, Peng.
■5021 ▼aThesis (Ph.D.)--University of California, Santa Barbara, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0035.
■650 4▼aComputer engineering
■650 4▼aArtificial intelligence
■650 4▼aComputer science
■653 ▼aAnalog and mixed-signal test
■653 ▼aAnalog and mixed-signal verification
■653 ▼aBayesian optimization
■653 ▼aFailure detection
■653 ▼aMachine learning
■653 ▼aSelf-supervised learning
■690 ▼a0464
■690 ▼a0800
■690 ▼a0984
■71020▼aUniversity of California, Santa Barbara▼bElectrical & Computer Engineering.
■7730 ▼tDissertations Abstracts International▼g83-05B.
■773 ▼tDissertation Abstract International
■790 ▼a0035
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054363▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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