Radial Basis Function and Bayesian Methods for the Hyperparameter Optimization of Classification Random Forests.
Rommel G. RegisPublished in: ICCSA (Workshops 2) (2023)
Keyphrases
- radial basis function
- random forests
- bayesian methods
- rbf kernel
- support vector
- hyperparameters
- support vector machine svm
- decision trees
- gaussian processes
- machine learning algorithms
- model selection
- support vector machine
- random forest
- logistic regression
- machine learning methods
- artificial neural networks
- ensemble methods
- neural network
- feature space
- basis functions
- cross validation
- kernel function
- pattern recognition
- incremental learning
- bayesian framework
- gaussian process
- feature selection
- classification accuracy
- text classification
- machine learning
- training data
- feature vectors
- data mining
- random sampling
- svm classifier
- sample size
- regression model
- feature set
- prior knowledge