Gaussian Process: Theory and ApplicationsՀայաստանի կազմակերպությունների տեղեկատուStochastic MechanicsExpress Your Wishes

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   Uncertain Inputs
A Girard, CE Rasmussen, R Murray-Smith. Gaussian process priors with uncertain inputs: Multiple-step ahead prediction. Technical Report TR-2002-119, Department of Computing Science, University of Glasgow, October, 2002.

A Girard, R Murray-Smith. Learning a Gaussian process model with uncertain inputs. Technical Report TR-2003-144, Department of Computing Science, University of Glasgow, June, 2003.

Approximate methods for propagation of uncertainty with gaussian process models. Approximate methods for propagation of uncertainty with gaussian process models. PhD thesis, 2004.

S. ukaszyk. A new concept of probability metric and its applications in approximation of scattered data sets. Computational Mechanics 2004.









 
    Dr Arman Melkumyan 
Rio Tinto Centre for Mine Automation 
Australian Centre for Field Robotics 
Link Building J13, Room 317 
University of Sydney