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Modeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning Framework
Modeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning Framework
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535500683
- DDC
- 658
- 저자명
- Feng, Jingshuo.
- 서명/저자
- Modeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning Framework
- 발행사항
- [Sl] : University of Washington, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 147 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Huang, Shuai.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Industrial engineering
- 일반주제명
- Statistics
- 일반주제명
- Simulation
- 일반주제명
- Population
- 일반주제명
- Accuracy
- 일반주제명
- Datasets
- 일반주제명
- User behavior
- 일반주제명
- Optimization
- 일반주제명
- Decision making
- 일반주제명
- Dissertations & theses
- 일반주제명
- Variables
- 일반주제명
- Preferences
- 일반주제명
- Data collection
- 일반주제명
- Algorithms
- 일반주제명
- Outdoor air quality
- 일반주제명
- Collaborative learning
- 일반주제명
- Parameter estimation
- 키워드
- Graphical model
- 키워드
- Machine learning
- 기타저자
- University of Washington Industrial and Systems Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798535500683
■035 ▼a(MiAaPQ)AAI28542302
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a658
■1001 ▼aFeng, Jingshuo.
■24510▼aModeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning Framework
■260 ▼a[Sl]▼bUniversity of Washington▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a147 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Huang, Shuai.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0250.
■650 4▼aIndustrial engineering
■650 4▼aStatistics
■650 4▼aSimulation
■650 4▼aPopulation
■650 4▼aAccuracy
■650 4▼aDatasets
■650 4▼aUser behavior
■650 4▼aOptimization
■650 4▼aDecision making
■650 4▼aDissertations & theses
■650 4▼aVariables
■650 4▼aPreferences
■650 4▼aData collection
■650 4▼aAlgorithms
■650 4▼aOutdoor air quality
■650 4▼aCollaborative learning
■650 4▼aParameter estimation
■653 ▼aGraphical model
■653 ▼aKnowledge discovery
■653 ▼aMachine learning
■690 ▼a0546
■690 ▼a0463
■71020▼aUniversity of Washington▼bIndustrial and Systems Engineering.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052381▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
