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Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, BlackBox Functions
Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, BlackBox Functions
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535542720
- DDC
- 658
- 저자명
- Mathesen, Logan.
- 서명/저자
- Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, BlackBox Functions
- 발행사항
- [Sl] : Arizona State University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 149 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Pedrielli, Giulia.
- 학위논문주기
- Thesis (Ph.D.)--Arizona State University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Operations research
- 일반주제명
- Statistics
- 일반주제명
- Computer science
- 일반주제명
- Mathematical programming
- 일반주제명
- Simulation
- 일반주제명
- Exploitation
- 일반주제명
- Optimization techniques
- 일반주제명
- Input output
- 일반주제명
- Neural networks
- 일반주제명
- Dissertations & theses
- 일반주제명
- Explicit knowledge
- 일반주제명
- Linear programming
- 일반주제명
- Methods
- 일반주제명
- Confidence intervals
- 일반주제명
- Optimization algorithms
- 일반주제명
- Information sources
- 일반주제명
- Weightlifting
- 기타저자
- Arizona State University Industrial Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798535542720
■035 ▼a(MiAaPQ)AAI28647615
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a658
■1001 ▼aMathesen, Logan.
■24510▼aMaking Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, BlackBox Functions
■260 ▼a[Sl]▼bArizona State University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a149 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Pedrielli, Giulia.
■5021 ▼aThesis (Ph.D.)--Arizona State University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0010.
■650 4▼aOperations research
■650 4▼aStatistics
■650 4▼aComputer science
■650 4▼aMathematical programming
■650 4▼aSimulation
■650 4▼aExploitation
■650 4▼aOptimization techniques
■650 4▼aInput output
■650 4▼aNeural networks
■650 4▼aDissertations & theses
■650 4▼aExplicit knowledge
■650 4▼aLinear programming
■650 4▼aMethods
■650 4▼aConfidence intervals
■650 4▼aOptimization algorithms
■650 4▼aInformation sources
■650 4▼aWeightlifting
■653 ▼aApplied optimization
■653 ▼aBayesian optimization
■653 ▼aBlack-box optimization
■653 ▼aStatistical learning
■690 ▼a0796
■690 ▼a0463
■690 ▼a0984
■71020▼aArizona State University▼bIndustrial Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0010
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053385▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
