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Real-Time Cost-Aware Machine Learning at the Edge
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Real-Time Cost-Aware Machine Learning at the Edge. |
| 개인저자 | Goldstein, Orpaz. |
| 단체저자명 | University of California, Los Angeles. Computer Science 0201. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 113 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798535507965 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Sarrafzadeh, Majid. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Computer science. Artificial intelligence. Information technology. International conferences. Diabetes. Accuracy. Deep learning. Datasets. Publications. Knowledge. Heart failure. Skin cancer. Gossip. Public health. Feature selection. Methods. Outdoor air quality. Collaborative learning. Breast cancer. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
