LDR | | 01374nam u200397 4500 |
001 | | 000000485997 |
005 | | 20230213152201 |
008 | | 230117s2022 |||||||||||||||||c||eng d |
020 | |
▼a 9798357503725 |
035 | |
▼a (MiAaPQ)AAI29755958 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 510 |
100 | 1 |
▼a Zhao, Shengjia. |
245 | 10 |
▼a Uncertainty and Information for Machine Learning Powered Decision-Making. |
260 | |
▼a [S.l.]:
▼b Stanford University.,
▼c 2022. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2022. |
300 | |
▼a 236 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 84-05, Section: B. |
500 | |
▼a Advisor: Ermon, Stefano. |
502 | 1 |
▼a Thesis (Ph.D.)--Stanford University, 2022. |
506 | |
▼a This item must not be sold to any third party vendors. |
590 | |
▼a School code: 0212. |
650 | 4 |
▼a Algorithms. |
650 | 4 |
▼a Calibration. |
650 | 4 |
▼a Decision making. |
650 | 4 |
▼a Computer science. |
690 | |
▼a 0984 |
710 | 20 |
▼a Stanford University. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 84-05B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0212 |
791 | |
▼a Ph.D. |
792 | |
▼a 2022 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16620718
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202302
▼f 2023 |
990 | |
▼a ***1012033 |
991 | |
▼a E-BOOK |