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New Algorithmic Tools for Distributed Similarity Search and Edge Estimation
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | New Algorithmic Tools for Distributed Similarity Search and Edge Estimation. |
| 개인저자 | Rashtchian, Cyrus. |
| 단체저자명 | University of Washington. Computer Science and Engineering. |
| 발행사항 | [S.l.]: University of Washington., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 186 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438176928 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Paul Beame. |
| 요약 | We present several foundational results on computational questions related to similarity search, clustering, and parameter estimation. The problems center around the theme of improving algorithms by utilizing geometric or graphical structure. So |
| 요약 | &bull |
| 요약 | &bull |
| 요약 | &bull |
| 요약 | &bull |
| 일반주제명 | Computer science. Mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
