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...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 28(2006), 12 vom: 16. Dez., Seite 1948-59 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | |
| Format: | Article |
| Langue: | English |
| Publié: |
2006
|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |