Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences.
Motonobu KanagawaPhilipp HennigDino SejdinovicBharath K. SriperumbudurPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- gaussian processes
- kernel methods
- hyperparameters
- gaussian process
- kernel parameters
- kernel function
- support vector
- graph kernels
- gaussian process regression
- probabilistic model
- machine learning
- learning problems
- kernel matrix
- multi task learning
- feature space
- reproducing kernel hilbert space
- learning tasks
- support vector machine
- multi task
- kernel principal component analysis
- high dimensional
- reinforcement learning
- principal component analysis