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Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bentdouble morphology. The type of galaxies in question contain distinctiv...
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Ch...