Gaussian Process: Theory and ApplicationsՀայաստանի կազմակերպությունների տեղեկատուStochastic MechanicsExpress Your Wishes

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Machine Learning

Journal of Machine Learning Research

Pattern Recognition

Number of Publications using Gaussian Processes Gaussian Process Related
Research Rate

This graph demonstrates how many journal papers according to ISI
Web of Knowledge have been
published on GPs each year


Welcome to the web site for theory and applications of Gaussian Processes

Gaussian Process is powerful non-parametric machine learning technique for constructing comprehensive probabilistic models of real world problems. They can be applied to geostatistics, supervised, unsupervised, reinforcement learning, principal component analysis, system identification and control, rendering music performance, optimization and many other tasks.

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