title: Online Maritime Abnormality Detection using Gaussian Processes and Extreme Value Theory
creator: Smith, M.
creator: Reece, Steven
creator: Roberts, Stephen J
creator: Rezek, I
subject: Mechanism Design
subject: Machine Learning
subject: Incentive Engineering
date: 2012
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
identifier: http://www.orchid.ac.uk/eprints/122/1/OnlineGaussianProcessEVT.pdf
identifier:   Smith, M. and Reece, Steven and Roberts, Stephen J and Rezek, I  (2012) Online Maritime Abnormality Detection using Gaussian Processes and Extreme Value Theory.  In: IEEE International Conference on Data Mining, 10-13 December 2012, Brussels, Belgium.     
relation: http://www.orchid.ac.uk/eprints/122/