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JMLR
2002
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13 years 11 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ICPR
2002
IEEE
15 years 20 days ago
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies
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...