A mixed-categorical correlation kernel for Gaussian process.
P. SavesYoussef DiouaneNathalie BartoliT. LefebvreJoseph MorlierPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- reproducing kernel hilbert space
- gaussian process regression
- covariance function
- regression model
- kernel logistic regression
- gaussian process classification
- hyperparameters
- model selection
- bayesian framework
- approximate inference
- gaussian process models
- support vector
- sparse approximations
- latent variables
- semi supervised
- kernel function
- kernel methods
- human pose estimation
- cross validation
- non stationary
- upper bound
- feature space
- data sets