서브메뉴
검색
Real-Time Cost-Aware Machine Learning at the Edge
Real-Time Cost-Aware Machine Learning at the Edge
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535507965
- DDC
- 004
- 서명/저자
- Real-Time Cost-Aware Machine Learning at the Edge
- 발행사항
- [Sl] : University of California, Los Angeles, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 113 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Sarrafzadeh, Majid.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer science
- 일반주제명
- Artificial intelligence
- 일반주제명
- Information technology
- 일반주제명
- Diabetes
- 일반주제명
- Accuracy
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Publications
- 일반주제명
- Knowledge
- 일반주제명
- Heart failure
- 일반주제명
- Skin cancer
- 일반주제명
- Gossip
- 일반주제명
- Public health
- 일반주제명
- Feature selection
- 일반주제명
- Methods
- 일반주제명
- Outdoor air quality
- 일반주제명
- Collaborative learning
- 일반주제명
- Breast cancer
- 키워드
- Edge networks
- 키워드
- Machine learning
- 기타저자
- University of California, Los Angeles Computer Science 0201
- 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 ▼a9798535507965
■035 ▼a(MiAaPQ)AAI28548746
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aGoldstein, Orpaz.
■24510▼aReal-Time Cost-Aware Machine Learning at the Edge
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a113 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Sarrafzadeh, Majid.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0031.
■650 4▼aComputer science
■650 4▼aArtificial intelligence
■650 4▼aInformation technology
■650 4▼aInternational conferences
■650 4▼aDiabetes
■650 4▼aAccuracy
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aPublications
■650 4▼aKnowledge
■650 4▼aHeart failure
■650 4▼aSkin cancer
■650 4▼aGossip
■650 4▼aPublic health
■650 4▼aFeature selection
■650 4▼aMethods
■650 4▼aOutdoor air quality
■650 4▼aCollaborative learning
■650 4▼aBreast cancer
■653 ▼aBayesian learning
■653 ▼aDecentralized learning
■653 ▼aEdge networks
■653 ▼aKnowledge transfer
■653 ▼aMachine learning
■690 ▼a0984
■690 ▼a0800
■690 ▼a0489
■690 ▼a0573
■71020▼aUniversity of California, Los Angeles▼bComputer Science 0201.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052925▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
