Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel.
Michael BotschJosef A. NossekPublished in: IJCNN (2008)
Keyphrases
- random forest
- radial basis function
- rbf kernel
- support vector
- feature set
- decision trees
- kernel function
- rbf neural network
- random forests
- rbf network
- neural network
- support vector machine
- positive definite
- ensemble classifier
- svm classifier
- basis functions
- support vector machine svm
- multi layer perceptron
- artificial neural networks
- ensemble learning
- feature selection
- multi label
- feature space
- ensemble methods
- kernel methods
- base classifiers
- naive bayes
- classification accuracy
- cross validation
- machine learning algorithms
- test set
- kernel machines
- data sets
- generalization ability
- training data
- class labels
- reproducing kernel hilbert space