convergence rate of RBF networks and kernel regression estimators with applications in classification.
Adam KrzyzakStan KlasaLei XuPublished in: ICPR (2) (1994)
Keyphrases
- convergence rate
- kernel regression
- rbf network
- nadaraya watson
- convergence speed
- radial basis function
- pattern recognition
- regression model
- learning rate
- feature extraction
- machine learning
- text classification
- back propagation
- support vector machine
- feature vectors
- training set
- decision trees
- generalization ability
- image processing
- feature selection
- supervised learning
- genetic programming
- model selection
- support vector machine svm
- learning algorithm
- neural network