Generalization bounds for function approximation from scattered noisy data.
Partha NiyogiFederico GirosiPublished in: Adv. Comput. Math. (1999)
Keyphrases
- function approximation
- noisy data
- generalization bounds
- learning theory
- data dependent
- generalization ability
- learning problems
- reinforcement learning
- model selection
- learning tasks
- ranking algorithm
- vc dimension
- radial basis function
- high dimensional
- missing data
- ranking functions
- learning algorithm
- input data
- supervised learning
- neural network
- high dimensionality
- missing values
- real valued
- data points
- multi label
- ensemble learning
- support vector machine svm
- genetic algorithm