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