Active Learning Informs Symbolic Regression Model Development in Genetic Programming.
Nathan HautBill PunchWolfgang BanzhafPublished in: GECCO Companion (2023)
Keyphrases
- regression model
- genetic programming
- active learning
- grammar guided genetic programming
- model selection
- gaussian process
- kernel regression
- prediction model
- linear model
- regression analysis
- explanatory variables
- symbolic regression
- linear regression model
- regression trees
- multivariate regression
- regression methods
- software engineering
- generalized linear
- machine learning
- support vector regression
- regression method
- survival analysis
- evolutionary algorithm
- generalized linear models
- logistic regression models
- software effort
- interval valued data
- locally weighted
- target variable
- gaussian processes
- logistic regression
- probability distribution
- support vector