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Assessing spatiotemporal correlations from data for short-t..:
Mena Yedra, Rafael
;
Casas Vilaró, Jordi
;
Gavaldà Mestre, Ricard
https://www.sciencedirect.com/science/article/pii/S2352146518303168. , 2018
Link:
http://hdl.handle.net/2117/129493
RT Journal T1
Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
UL https://suche.suub.uni-bremen.de/peid=base-ftupcatalunya:oai:upcommons.upc.edu:2117_129493&Exemplar=1&LAN=DE A1 Mena Yedra, Rafael A1 Casas Vilaró, Jordi A1 Gavaldà Mestre, Ricard PB Elsevier YR 2018 K1 Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic K1 Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Trànsit K1 Traffic flow -- Forecasting K1 Machine learning K1 Traffic prediction K1 Multi-task learning K1 MTL K1 Data stream learning K1 High-dimensionality K1 Circulació -- Previsió K1 Aprenentatge automàtic JF https://www.sciencedirect.com/science/article/pii/S2352146518303168 LK http://hdl.handle.net/2117/129493 DO http://hdl.handle.net/2117/129493 SF ELIB - SuUB Bremen
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