Hyperparameters of Gaussian process as features for trajectory classification.
G. HaranadhC. Chandra SekharPublished in: IJCNN (2008)
Keyphrases
- image reconstruction
- gaussian process
- hyperparameters
- model selection
- cross validation
- support vector
- gaussian processes
- incremental learning
- feature extraction
- bayesian framework
- covariance function
- feature vectors
- approximate inference
- random sampling
- bayesian methods
- bayesian inference
- closed form
- regression model
- gaussian process regression
- noise level
- marginal likelihood
- incomplete data
- sample size
- prior information
- maximum likelihood
- feature space
- variational bayes
- latent variables
- posterior distribution
- em algorithm
- prior knowledge
- decision trees
- lower bound
- supervised learning
- missing values
- semi supervised