| LDR | | 02068nam u200397 4500 |
| 001 | | 000000421421 |
| 005 | | 20190215165311 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438026575 |
| 035 | |
▼a (MiAaPQ)AAI10814229 |
| 035 | |
▼a (MiAaPQ)cornellgrad:10803 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 001.5 |
| 100 | 1 |
▼a Gardner, Jacob Ross. |
| 245 | 10 |
▼a Discovering and Exploiting Structure for Gaussian Processes. |
| 260 | |
▼a [S.l.]:
▼b Cornell University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 123 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Kilian Q. Weinberger. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2018. |
| 520 | |
▼a Gaussian processes have emerged as a powerful tool for modeling complex and noisy functions. They have found wide applicability in personalized medicine, time series analysis, prediction tasks in the physical sciences, and recently blackbox opti |
| 520 | |
▼a Despite these two clear advantages, some of the most popular applications of Gaussian processes have focused on exploiting the first advantage of GPs, and very little on exploiting the latter. As an example, in Bayesian optimization, off-the-she |
| 520 | |
▼a In this thesis, we will demonstrate by way of application that the second advantage can be just as critical as the first. By leveraging expert medical knowledge, we develop a GP model that exploits basic facts about human hearing to dramatically |
| 590 | |
▼a School code: 0058. |
| 650 | 4 |
▼a Artificial intelligence. |
| 690 | |
▼a 0800 |
| 710 | 20 |
▼a Cornell University.
▼b Computer Science. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0058 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998110
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |