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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438294035
035 ▼a (MiAaPQ)AAI10841949
035 ▼a (MiAaPQ)indiana:15367
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 150
1001 ▼a Sanders, Craig Aaron.
24510 ▼a Using Deep Learning to Automatically Extract Psychological Representations of Complex Natural Stimuli.
260 ▼a [S.l.]: ▼b Indiana University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 129 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Robert Nosofsky.
5021 ▼a Thesis (Ph.D.)--Indiana University, 2018.
520 ▼a Cognitive psychologists have developed many formal models of categorization, but they have been almost exclusively tested using artificial categories because deriving psychological representations of natural stimuli using traditional methods suc
590 ▼a School code: 0093.
650 4 ▼a Psychology.
650 4 ▼a Cognitive psychology.
690 ▼a 0621
690 ▼a 0633
71020 ▼a Indiana University. ▼b Psychological & Brain Sciences.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0093
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999811 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033