Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning.
Pei-Yi HaoJung-Hsien ChiangPublished in: Int. J. Neural Syst. (2006)
Keyphrases
- learning algorithm
- learning models
- support vector
- theoretical analysis
- prior knowledge
- automatically learned
- radial basis function
- learning process
- reinforcement learning
- noise tolerant
- computational model
- probabilistic model
- supervised learning
- artificial neural networks
- neural network
- high level
- classification algorithm
- search space
- feature selection
- rbf network
- learning machines
- learning environment
- pac model
- statistical queries
- structured prediction
- learning phase
- learning scheme
- incremental learning
- mathematical model
- loss function
- model selection
- em algorithm
- online learning