USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS
Ph.D
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Format: | Theses and Dissertations |
Language: | English |
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2018
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/142758 |
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sg-nus-scholar.10635-1427582021-02-19T09:11:29Z USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS LIU YE COMPUTER SCIENCE DAVID SAMUEL ROSENBLUM Social media analytics, user profiling, sensor analysis, multi-task learning, multi-source learning, sparsity learning Ph.D DOCTOR OF PHILOSOPHY 2018-06-01T18:00:41Z 2018-06-01T18:00:41Z 2018-01-11 Thesis LIU YE (2018-01-11). USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/142758 en |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Social media analytics, user profiling, sensor analysis, multi-task learning, multi-source learning, sparsity learning |
spellingShingle |
Social media analytics, user profiling, sensor analysis, multi-task learning, multi-source learning, sparsity learning LIU YE USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
description |
Ph.D |
author2 |
COMPUTER SCIENCE |
author_facet |
COMPUTER SCIENCE LIU YE |
format |
Theses and Dissertations |
author |
LIU YE |
author_sort |
LIU YE |
title |
USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
title_short |
USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
title_full |
USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
title_fullStr |
USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
title_full_unstemmed |
USER ATTRIBUTE LEARNING FROM SOCIAL MEDIA AND UBIQUITOUS SENSORS |
title_sort |
user attribute learning from social media and ubiquitous sensors |
publishDate |
2018 |
url |
http://scholarbank.nus.edu.sg/handle/10635/142758 |
_version_ |
1693115780992860160 |