Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel.
Harsh RajSuvodip DeyHiransh GuptaP. K. SrijithPublished in: ICONIP (5) (2020)
Keyphrases
- representer theorem
- gaussian processes
- efficient optimization
- support vector
- data driven
- mixture model
- global optimization
- kernel function
- bayesian networks
- optimization process
- kernel methods
- optimization method
- optimization problems
- gaussian distribution
- maximum likelihood
- feature space
- optimization algorithm
- posterior probability
- posterior distribution
- constrained optimization
- multi task learning
- multispectral images
- bayesian learning
- reproducing kernel hilbert space
- spectral decomposition
- neural network