| LDR | | 01998nam u200637 4500 |
| 001 | | 000000467573 |
| 005 | | 20220223112803 |
| 008 | | 220131s2021 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798534651423 |
| 035 | |
▼a (MiAaPQ)AAI28319254 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 616 |
| 100 | 1 |
▼a Gao, Siyuan. |
| 245 | 10 |
▼a Latent Factor Analysis of High-Dimensional Brain Imaging Data. |
| 260 | |
▼a [S.l.]:
▼b Yale University.,
▼c 2021. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
| 300 | |
▼a 115 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B. |
| 500 | |
▼a Advisor: Scheinost, Dustin. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Yale University, 2021. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0265. |
| 650 | 4 |
▼a Neurosciences. |
| 650 | 4 |
▼a Mathematics. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Medical imaging. |
| 650 | 4 |
▼a Behavior. |
| 650 | 4 |
▼a Accuracy. |
| 650 | 4 |
▼a Principal components analysis. |
| 650 | 4 |
▼a Datasets. |
| 650 | 4 |
▼a Memory. |
| 650 | 4 |
▼a Brain research. |
| 650 | 4 |
▼a Flexibility. |
| 650 | 4 |
▼a Methods. |
| 650 | 4 |
▼a Correlation analysis. |
| 650 | 4 |
▼a Algorithms. |
| 650 | 4 |
▼a Clustering. |
| 650 | 4 |
▼a Time series. |
| 650 | 4 |
▼a Intelligence. |
| 690 | |
▼a 0317 |
| 690 | |
▼a 0405 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0574 |
| 710 | 20 |
▼a Yale University.
▼b Biomedical Engineering. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0265 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2021 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16051247
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |