A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space.
Viet-Hung DangNgo Anh VienTaeChoong ChungPublished in: Genet. Program. Evolvable Mach. (2019)
Keyphrases
- cma es
- reproducing kernel hilbert space
- evolution strategy
- covariance matrix
- kernel methods
- loss function
- positive definite
- evolutionary algorithm
- kernel function
- special case
- euclidean space
- sample size
- differential evolution
- domain adaptation
- gaussian process
- learning theory
- data dependent
- density estimation
- distance measure
- genetic algorithm
- input space
- principal component analysis
- learning problems
- particle swarm optimization algorithm
- kernel matrix
- optimization methods
- pairwise
- feature selection
- euclidean distance
- objective function
- feature extraction
- candidate solutions
- training samples