Sample Complexity for Function Learning Tasks Through Linear Neural Networks.
Arturo Hernández AguirreCris KoutsougerasBill P. BucklesPublished in: Int. J. Artif. Intell. Tools (2002)
Keyphrases
- learning tasks
- sample complexity
- learning problems
- function approximators
- supervised learning
- target function
- learning algorithm
- neural network
- vc dimension
- multi task
- machine learning
- machine learning algorithms
- pac learning
- transfer learning
- kernel methods
- reinforcement learning
- concept classes
- multi label
- learning models
- theoretical analysis
- generalization error
- learning experience
- upper bound
- active learning
- special case
- concept class
- unsupervised learning
- multiple kernel learning
- kernel learning
- lower bound
- unlabeled data
- semi supervised
- class labels