Unsupervised learning based performance analysis of v-support vector regression for speed prediction of a large road network

Unsupervised learning based performance analysis of v-support vector regression for speed prediction of a large road network

Many intelligent transportation systems (ITS) applications require accurate prediction of traffic parameters. Previous studies have shown that data driven machine learning methods like support vector regression (SVR) can effectively and accurately perform this task. However, these studies focus on h...

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Bibliographic Details
Main Authors: Jaillet, Patrick, Asif, Muhammad Tayyab, Dauwels, Justin H. G., Goh, C. Y., Oran, Ali, Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, Nikola
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Online Access:http://hdl.handle.net/1721.1/87100
https://orcid.org/0000-0002-8585-6566

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http://hdl.handle.net/1721.1/87100
https://orcid.org/0000-0002-8585-6566

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