| LDR | | 01710nam u200445 4500 |
| 001 | | 000000422362 |
| 005 | | 20190215170051 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438176928 |
| 035 | |
▼a (MiAaPQ)AAI10828360 |
| 035 | |
▼a (MiAaPQ)washington:18811 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Rashtchian, Cyrus. |
| 245 | 10 |
▼a New Algorithmic Tools for Distributed Similarity Search and Edge Estimation. |
| 260 | |
▼a [S.l.]:
▼b University of Washington.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 186 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Paul Beame. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a &bull |
| 520 | |
▼a &bull |
| 520 | |
▼a &bull |
| 520 | |
▼a &bull |
| 590 | |
▼a School code: 0250. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Mathematics. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0405 |
| 710 | 20 |
▼a University of Washington.
▼b Computer Science and Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0250 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999158
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |