Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers.
Pablo S. NaharroAntonio LaTorreJosé-María PeñaPublished in: GECCO Companion (2021)
Keyphrases
- training samples
- pairwise
- training set
- decision boundary
- learning algorithm
- real world
- binary classifiers
- health care
- markov random field
- information systems
- simulation environment
- similarity measure
- pairwise classification
- data sets
- simulation model
- higher order
- classification accuracy
- genetic algorithm
- test set
- loss function
- point sets
- multi class
- supervised classification
- decision trees
- high risk
- neural network