FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING

Ph.D

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Bibliographic Details
Main Author:	HE HAIYUN
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2022
Subjects:	Information theory, Statistical learning, Distributed detection, Change-point detection, Semi-supervised learning, Generalization error
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/231542
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Institution:	National University of Singapore
Language:	English

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spelling	sg-nus-scholar.10635-2315422022-09-30T18:00:31Z FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING HE HAIYUN ELECTRICAL & COMPUTER ENGINEERING Boon Thye Thomas Yeo Yan Fu, Vincent Tan Information theory, Statistical learning, Distributed detection, Change-point detection, Semi-supervised learning, Generalization error Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2022-09-30T18:00:31Z 2022-09-30T18:00:31Z 2022-04-18 Thesis HE HAIYUN (2022-04-18). FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/231542 0000-0002-1797-6101 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Information theory, Statistical learning, Distributed detection, Change-point detection, Semi-supervised learning, Generalization error
spellingShingle	Information theory, Statistical learning, Distributed detection, Change-point detection, Semi-supervised learning, Generalization error HE HAIYUN FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
description	Ph.D
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING HE HAIYUN
format	Theses and Dissertations
author	HE HAIYUN
author_sort	HE HAIYUN
title	FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
title_short	FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
title_full	FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
title_fullStr	FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
title_full_unstemmed	FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
title_sort	fundamental performance limits of statistical problems: from detection theory to semi-supervised learning
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/231542
_version_	1745574603865980928

FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING

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