Compressible spectral mixture kernels with sparse dependency structures for Gaussian processes.
Kai ChenFeng YinShuguang CuiPublished in: Signal Process. (2023)
Keyphrases
- gaussian processes
- covariance function
- relevance vector machine
- gaussian process
- dirichlet process
- gaussian process regression
- compressive sensing
- graph kernels
- multi task learning
- gaussian process models
- hyperparameters
- sparse representation
- preference learning
- mixture model
- human pose estimation
- non stationary
- expectation maximization
- probabilistic model
- multi task
- bayesian inference
- semi supervised