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020 ▼a 9798845457387
035 ▼a (MiAaPQ)AAI29288671
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 658
1001 ▼a Washington, Peter Yigitcan.
24510 ▼a Machine Learning and Crowdsourcing for Digital Behavioral Phenotyping.
260 ▼a [S.l.]: ▼b Stanford University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 237 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
500 ▼a Advisor: Altman, Russ; Liphardt, Jan;Wall, Dennis.
5021 ▼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 Behavior.
650 4 ▼a Active learning.
650 4 ▼a Video recordings.
650 4 ▼a Neural networks.
650 4 ▼a Labeling.
650 4 ▼a Autism.
650 4 ▼a Feature selection.
650 4 ▼a Privacy.
650 4 ▼a Human-computer interaction.
650 4 ▼a Crowdsourcing.
650 4 ▼a Disability studies.
690 ▼a 0800
690 ▼a 0201
71020 ▼a Stanford University.
7730 ▼t Dissertations Abstracts International ▼g 84-03A.
773 ▼t Dissertation Abstract International
790 ▼a 0212
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16618769 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK