Bayesian Gaussian process classification with the EM-EP algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically related to the value of some latent function at that location. Starting from a Gaussian process prior over this latent fun...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 28(2006), 12 vom: 16. Dez., Seite 1948-59 |
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| Format: | Aufsatz |
| Sprache: | English |
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2006
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |