| LDR | | 01676nam u200517 4500 |
| 001 | | 000000466356 |
| 005 | | 20220223111613 |
| 008 | | 220131s2019 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798505569641 |
| 035 | |
▼a (MiAaPQ)AAI28470901 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 512 |
| 100 | 1 |
▼a Wu, Tung-yu. |
| 245 | 10 |
▼a Metropolis-Hastings Mcmc with Dual Mini-Batches and Reversible Sgld Proposal. |
| 260 | |
▼a [S.l.]:
▼b Stanford University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 78 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B. |
| 500 | |
▼a Advisor: Wong, Wing Hung; Owen, Art B.; Ye, Yinyu. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Stanford University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0212. |
| 650 | 4 |
▼a Approximation. |
| 650 | 4 |
▼a Accuracy. |
| 650 | 4 |
▼a Noise. |
| 650 | 4 |
▼a Datasets. |
| 650 | 4 |
▼a Algorithms. |
| 650 | 4 |
▼a Optimization. |
| 650 | 4 |
▼a Neural networks. |
| 650 | 4 |
▼a Markov analysis. |
| 650 | 4 |
▼a Bias. |
| 650 | 4 |
▼a Artificial intelligence. |
| 650 | 4 |
▼a Operations research. |
| 650 | 4 |
▼a Acoustics. |
| 690 | |
▼a 0986 |
| 690 | |
▼a 0800 |
| 690 | |
▼a 0796 |
| 710 | 20 |
▼a Stanford University. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0212 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16051746
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |