An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization.
Ibai RomanRoberto SantanaAlexander MendiburuJosé Antonio LozanoPublished in: IEEE Access (2019)
Keyphrases
- efficient optimization
- global optimization
- kernel machines
- optimization problems
- kernel methods
- kernel function
- optimization algorithm
- data driven
- optimal selection
- combinatorial optimization
- bayesian estimation
- fine tuning
- pre selected
- maximum likelihood
- neural network
- optimization process
- gaussian processes
- component analysis
- bayesian inference
- monte carlo sampling
- reproducing kernel hilbert space
- least squares
- support vector
- learning algorithm