| LDR | | 02115nam u200625 4500 |
| 001 | | 000000466619 |
| 005 | | 20220223111846 |
| 008 | | 220131s2021 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798535542720 |
| 035 | |
▼a (MiAaPQ)AAI28647615 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Mathesen, Logan. |
| 245 | 10 |
▼a Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, BlackBox Functions. |
| 260 | |
▼a [S.l.]:
▼b Arizona State University.,
▼c 2021. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
| 300 | |
▼a 149 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: B. |
| 500 | |
▼a Advisor: Pedrielli, Giulia. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Arizona State University, 2021. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0010. |
| 650 | 4 |
▼a Operations research. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Mathematical programming. |
| 650 | 4 |
▼a Simulation. |
| 650 | 4 |
▼a Exploitation. |
| 650 | 4 |
▼a Optimization techniques. |
| 650 | 4 |
▼a Input output. |
| 650 | 4 |
▼a Neural networks. |
| 650 | 4 |
▼a Dissertations & theses. |
| 650 | 4 |
▼a Explicit knowledge. |
| 650 | 4 |
▼a Linear programming. |
| 650 | 4 |
▼a Methods. |
| 650 | 4 |
▼a Confidence intervals. |
| 650 | 4 |
▼a Optimization algorithms. |
| 650 | 4 |
▼a Information sources. |
| 650 | 4 |
▼a Weightlifting. |
| 690 | |
▼a 0796 |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Arizona State University.
▼b Industrial Engineering. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-03B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0010 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2021 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16053385
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |