Handling the Positive-Definite Constraint in the Bayesian Learning Rule.
Wu LinMark SchmidtMohammad Emtiyaz KhanPublished in: CoRR (2020)
Keyphrases
- positive definite
- learning rules
- covariance matrix
- neural network
- kernel function
- biologically inspired
- artificial neural networks
- geometric structure
- diffusion tensor
- back propagation
- kernel matrix
- learning scheme
- learning algorithm
- bayesian inference
- semi parametric
- transfer function
- maximum likelihood
- spatio temporal
- kernel machines
- training set
- data mining