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Positive Unlabeled Learning: Optimization and Evaluation
Positive Unlabeled Learning: Optimization and Evaluation
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093809
- ISBN
- 9798535542645
- DDC
- 001.5
- 저자명
- Jaskie, Kristen.
- 서명/저자
- Positive Unlabeled Learning: Optimization and Evaluation
- 발행사항
- [Sl] : Arizona State University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 221 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Spanias, Andreas.
- 학위논문주기
- Thesis (Ph.D.)--Arizona State University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Artificial intelligence
- 일반주제명
- Computer science
- 일반주제명
- Mathematics
- 일반주제명
- Software
- 일반주제명
- Diabetes
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Signal processing
- 일반주제명
- Dissertations & theses
- 일반주제명
- Genomes
- 일반주제명
- Noise
- 일반주제명
- Feedback
- 일반주제명
- COVID-19
- 일반주제명
- Alzheimers disease
- 일반주제명
- Simulation
- 일반주제명
- Classification
- 일반주제명
- Probability
- 일반주제명
- Literature reviews
- 일반주제명
- Algorithms
- 키워드
- Machine learning
- 키워드
- PU learning
- 기타저자
- Arizona State University Electrical 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■001000016053507
■00520220210093809
■020 ▼a9798535542645
■035 ▼a(MiAaPQ)AAI28649660
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a001.5
■1001 ▼aJaskie, Kristen.
■24510▼aPositive Unlabeled Learning: Optimization and Evaluation
■260 ▼a[Sl]▼bArizona State University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a221 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Spanias, Andreas.
■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▼aArtificial intelligence
■650 4▼aComputer science
■650 4▼aMathematics
■650 4▼aSoftware
■650 4▼aDiabetes
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aSignal processing
■650 4▼aDissertations & theses
■650 4▼aGenomes
■650 4▼aNoise
■650 4▼aFeedback
■650 4▼aCOVID-19
■650 4▼aAlzheimers disease
■650 4▼aSimulation
■650 4▼aPrincipal components analysis
■650 4▼aClassification
■650 4▼aProbability
■650 4▼aLiterature reviews
■650 4▼aAlgorithms
■653 ▼aMachine learning
■653 ▼aPositive unlabeled learning
■653 ▼aPU learning
■653 ▼aSemi-supervised learning
■690 ▼a0800
■690 ▼a0984
■690 ▼a0405
■71020▼aArizona State University▼bElectrical 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=T16053507▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022


