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Learning Descriptive and Generative Models with Short-Run MCMC
Learning Descriptive and Generative Models with Short-Run MCMC
Learning Descriptive and Generative Models with Short-Run MCMC

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자료유형  
 학위논문파일 국외
ISBN  
9798516926556
DDC  
310
저자명  
Nijkamp, Erik Lennart.
서명/저자  
Learning Descriptive and Generative Models with Short-Run MCMC
발행사항  
[Sl] : University of California, Los Angeles, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
232 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
주기사항  
Advisor: Zhu, Song-Chun.
학위논문주기  
Thesis (Ph.D.)--University of California, Los Angeles, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Statistics
키워드  
Predictive coding theory
키워드  
Three-dimensional objects
키워드  
Neural activity
기타저자  
University of California, Los Angeles Statistics 0891
기본자료저록  
Dissertations Abstracts International. 83-01B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■035    ▼a(MiAaPQ)AAI28547037
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a310
■1001  ▼aNijkamp,  Erik  Lennart.
■24510▼aLearning  Descriptive  and  Generative  Models  with  Short-Run  MCMC
■260    ▼a[Sl]▼bUniversity  of  California,  Los  Angeles▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a232  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-01,  Section:  B.
■500    ▼aAdvisor:  Zhu,  Song-Chun.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  Los  Angeles,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0031.
■650  4▼aStatistics
■653    ▼aPredictive  coding  theory
■653    ▼aThree-dimensional  objects
■653    ▼aNeural  activity
■690    ▼a0463
■71020▼aUniversity  of  California,  Los  Angeles▼bStatistics  0891.
■7730  ▼tDissertations  Abstracts  International▼g83-01B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0031
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052794▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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