Data-driven polynomial chaos expansion for machine learning regression.
Emiliano TorreStefano MarelliPaul EmbrechtsBruno SudretPublished in: CoRR (2018)
Keyphrases
- data driven
- machine learning
- model selection
- classification and regression problems
- regression model
- active learning
- regression problems
- linear regression
- artificial intelligence
- machine learning algorithms
- machine learning methods
- pattern recognition
- explanation based learning
- particle swarm optimization
- text classification
- supervised learning
- decision trees
- mercer kernels
- support vector regression
- learning tasks
- data mining
- survival analysis
- locally weighted
- learning systems
- knowledge acquisition
- computational intelligence
- support vector machine
- support vector
- data analysis
- knowledge discovery
- neural network
- genetic algorithm
- polynomial regression
- regression method
- training set
- learning machines
- machine learning approaches
- regression analysis
- inductive logic programming
- learning problems
- semi supervised learning