title: Can priors be trusted? Learning to anticipate roadworks
creator: Mathibela, B
creator: Osborne, Michael A
creator: Posner, I
creator: Newman, P.M.
subject: Machine Learning
subject: Incentive Engineering
date: 2012-09
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
identifier: http://www.orchid.ac.uk/eprints/70/1/roadworks_2012.pdf
identifier:   Mathibela, B and Osborne, Michael A and Posner, I and Newman, P.M.  (2012) Can priors be trusted? Learning to anticipate roadworks.  In: in 15th International IEEE Conference on Intelligent Transportation Systems (ITSC-12), September 2012, Anchorage, Alaska, USA..    (In Press)  
relation: http://www.orchid.ac.uk/eprints/70/