Urban water quality prediction based on multi-task multi-view learning

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2016-January, Issue , 2016, Pages 2576-2582

  Liu, Ye ^a,b   Yu, Zheng ^b,c,d   Yuxuan, Liang ^c   Liu, Shuming ^e   Rosenblum, David S ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b MICROSOFT RESEARCH   (United States)

^c XIDIAN UNIVERSITY   (China)

^d SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^e TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; ARTIFICIAL INTELLIGENCE; FORECASTING; POLLUTION CONTROL; STREAM FLOW; WATER POLLUTION; WATER QUALITY;

DIFFERENT DOMAINS; LEARNING MODELS; MULTI-VIEW LEARNING; MULTIPLE DATA SETS; REAL-WORLD DATASETS; SPATIAL CORRELATIONS; TEMPORAL INFORMATION; URBAN WATER QUALITIES;

WATER POLLUTION CONTROL;

EID: 85006165885     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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