Sparse polynomial chaos expansion based on D-MORPH regression.
Kai ChengZhenzhou LuPublished in: Appl. Math. Comput. (2018)
Keyphrases
- sparse regression
- sparse bayesian learning
- regression model
- covariance function
- relevance vector machine
- gaussian processes
- gaussian process regression
- canonical correlation analysis
- neural network
- sparse kernel
- generalized linear models
- linear regression
- regression analysis
- compressive sensing
- sparse representation
- sparse data
- model selection
- regression methods
- particle swarm optimization
- polynomial regression
- feature selection and classification
- locally weighted
- support vector
- group lasso
- sparse matrix
- regression problems
- sparse approximations
- regularized regression
- low order
- genetic programming
- support vector machine
- high dimensional
- genetic algorithm