Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques.
Sun Hye KimFani BoukouvalaPublished in: Optim. Lett. (2020)
Keyphrases
- subset selection
- data driven
- machine learning
- feature selection
- model driven
- regression model
- model selection
- optimization algorithm
- learning systems
- learning algorithm
- survival analysis
- global optimization
- optimization method
- support vector machine
- genetic algorithm
- optimization problems
- artificial intelligence
- computer vision
- information extraction
- linear regression
- mercer kernels
- classification and regression problems
- optimization approaches
- regression methods
- regression method
- decision trees
- optimization process
- reinforcement learning
- support vector
- machine learning methods
- data analysis
- evolutionary algorithm
- active learning
- special case
- cost function
- knowledge representation