Representing Realistic Human Driver Behaviors using a Finite Size Gaussian Process Kernel Bank.
Hossein Nourkhiz MahjoubArash RaftariRodolfo ValienteYaser P. FallahSyed K. MahmudPublished in: VNC (2019)
Keyphrases
- probability distribution
- gaussian process
- gaussian processes
- gaussian process regression
- reproducing kernel hilbert space
- covariance function
- regression model
- model selection
- kernel logistic regression
- approximate inference
- latent variables
- semi supervised
- hyperparameters
- bayesian framework
- gaussian process models
- expectation propagation
- bayesian networks
- gaussian process classification
- support vector
- sparse approximations
- driving behavior
- data sets
- maximum a posteriori
- image denoising
- particle filter
- higher order
- learning algorithm