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Using Deep Learning to Automatically Extract Psychological Representations of Complex Natural Stimuli
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Using Deep Learning to Automatically Extract Psychological Representations of Complex Natural Stimuli. |
| 개인저자 | Sanders, Craig Aaron. |
| 단체저자명 | Indiana University. Psychological & Brain Sciences. |
| 발행사항 | [S.l.]: Indiana University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 129 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438294035 |
| 학위논문주기 | Thesis (Ph.D.)--Indiana University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Robert Nosofsky. |
| 요약 | 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 |
| 일반주제명 | Psychology. Cognitive psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
