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Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
Author(s) -
Rafael Mena-Yedra,
Jordi Casas,
Ricard Gavaldà
Publication year - 2018
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2018.11.027
Subject(s) - computer science , task (project management) , generalization , machine learning , data mining , traffic flow (computer networking) , perspective (graphical) , domain knowledge , artificial intelligence , term (time) , concept drift , domain (mathematical analysis) , data stream mining , mathematical analysis , physics , mathematics , management , computer security , quantum mechanics , economics

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