Sample Complexity for Function Learning Tasks through Linear Neural Networks.
Arturo Hernández AguirreCris KoutsougerasBill P. BucklesPublished in: MICAI (2002)
Keyphrases
- learning tasks
- sample complexity
- learning problems
- function approximators
- supervised learning
- target function
- learning algorithm
- neural network
- pac learning
- vc dimension
- transfer learning
- learning experience
- machine learning
- machine learning algorithms
- active learning
- special case
- kernel methods
- learning models
- upper bound
- multi label
- lower bound
- concept classes
- semi supervised
- reinforcement learning
- training data
- multi task
- metric learning
- generalization error
- training examples
- semi supervised learning
- feature selection
- cross validation
- objective function
- training samples
- data sets