Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.
Zbynek PitraLukás BajerMartin HolenaPublished in: ITAT (2015)
Keyphrases
- random forest
- gaussian process
- support vector
- gaussian processes
- hyperparameters
- random forests
- support vector machine svm
- feature set
- model selection
- decision trees
- latent variables
- regression model
- bayesian framework
- semi supervised
- support vector machine
- evolution strategy
- feature selection
- svm classifier
- ensemble methods
- multi label
- machine learning
- feature vectors
- knn
- cross validation
- closed form
- feature extraction
- covariance matrix
- image classification
- upper bound
- multi class
- kernel function
- training data
- nearest neighbor
- higher order
- genetic algorithm
- text classification