Comparing different metaheuristics for model selection in a supervised learning classifier system.
Jonathan WurthMichael HeiderHelena StegherrRoman SrajJörg HähnerPublished in: GECCO Companion (2022)
Keyphrases
- model selection
- learning classifier systems
- cross validation
- unsupervised learning
- genetic algorithm
- feature selection
- hyperparameters
- machine learning
- relational reinforcement learning
- evolutionary algorithm
- semi supervised
- learning algorithm
- real valued
- mixture model
- reinforcement learning
- regression model
- selection criterion
- evolutionary computation
- statistical inference
- bayesian information criterion
- model selection criteria
- gaussian process
- supervised learning
- information criterion
- random variables
- marginal likelihood
- support vector machine
- data analysis
- parameter determination
- automatic model selection