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Theory and Algorithms for Efficient Deployment of Machine Learning Systems.
Theory and Algorithms for Efficient Deployment of Machine Learning Systems.
- 자료유형
- 학위논문
- Control Number
- 0016620857
- International Standard Book Number
- 9798357513441
- Dewey Decimal Classification Number
- 001
- Main Entry-Personal Name
- Ginart, Antonio Alejandro.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Stanford University., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 156 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
- General Note
- Advisor: Ozgur, Ayfer;Valiant, Gregory;Zou, James.
- Dissertation Note
- Thesis (Ph.D.)--Stanford University, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Software.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Engineers.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Statistics.
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 84-05B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:627035
