Generalisation and Model Selection in Supervised Learning with Evolutionary Computation.
Jem J. RowlandPublished in: EvoWorkshops (2003)
Keyphrases
- evolutionary computation
- model selection
- supervised learning
- generalization error
- unsupervised learning
- statistical learning
- evolutionary algorithm
- cross validation
- machine learning
- genetic programming
- computational intelligence
- learning machines
- hyperparameters
- machine learning and data mining
- bayesian learning
- genetic algorithm
- parameter estimation
- sample size
- supervised classification
- fuzzy logic
- learning tasks
- fitness function
- regression model
- training set
- feature selection
- gaussian process
- automatic model selection
- labeled data
- information criterion
- semi supervised
- statistical inference
- class labels
- marginal likelihood
- training data
- reinforcement learning
- learning problems
- selection criterion
- active learning
- mixture model
- semi supervised learning
- data reduction
- search space
- multiple instance learning
- decision trees
- learning algorithm
- least squares
- parameter determination