Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification.
Adam KrzyzakMarian PartykaPublished in: ICAISC (1) (2017)
Keyphrases
- generalization capabilities
- radial basis function
- rates of convergence
- incremental learning
- learning algorithm
- supervised learning
- machine learning
- support vector
- pattern recognition
- active learning
- support vector machine
- basis functions
- regression function
- reinforcement learning
- convergence rate
- pattern classification
- neural network
- high dimensional
- feature vectors
- dynamic programming
- feature extraction
- rbf network
- decision trees