LEARNING AND PREDICTION OF RELATIONAL TIME SERIES

LEARNING AND PREDICTION OF RELATIONAL TIME SERIES

Prediction of events is fundamental to both human and artificial agents. The main problem with previous prediction techniques is that they cannot predict events that have never been experienced before. This dissertation addresses the problem of predicting such novelty by developing algorithms and co...

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Bibliographic Details
Main Author:	Tan, Kian-Moh Terence
Other Authors:	Darken, Christian
Published:	Monterey, California. Naval Postgraduate School 2013
Online Access:	http://hdl.handle.net/10945/32907

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