REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS

Ph.D

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Bibliographic Details
Main Author:	LI, SHEN
Other Authors:	INSTITUTE OF DATA SCIENCE
Format:	Theses and Dissertations
Language:	English
Published:	2022
Subjects:	representation learning; Bayesian priors
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/231566
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-231566
record_format	dspace
spelling	sg-nus-scholar.10635-2315662024-10-26T19:13:30Z REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS LI, SHEN INSTITUTE OF DATA SCIENCE Kuen-Yew Bryan Hooi representation learning; Bayesian priors Ph.D DOCTOR OF PHILOSOPHY (NUSGS) 2022-09-30T18:01:10Z 2022-09-30T18:01:10Z 2022-04-08 Thesis LI, SHEN (2022-04-08). REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/231566 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	representation learning; Bayesian priors
spellingShingle	representation learning; Bayesian priors LI, SHEN REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
description	Ph.D
author2	INSTITUTE OF DATA SCIENCE
author_facet	INSTITUTE OF DATA SCIENCE LI, SHEN
format	Theses and Dissertations
author	LI, SHEN
author_sort	LI, SHEN
title	REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
title_short	REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
title_full	REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
title_fullStr	REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
title_full_unstemmed	REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS
title_sort	representation learning with domain-specific bayesian priors
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/231566
_version_	1821190528015794176

REPRESENTATION LEARNING WITH DOMAIN-SPECIFIC BAYESIAN PRIORS

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