Neural Network Learning: Testing Bounds on Sample Complexity.
Joaquim Marques de SáFernando SerenoLuís A. AlexandrePublished in: PRIS (2004)
Keyphrases
- sample complexity
- neural network
- learning problems
- linear threshold
- learning process
- sample complexity bounds
- active learning
- learning algorithm
- lower bound
- upper bound
- supervised learning
- vc dimension
- distribution free
- generalization error
- theoretical analysis
- sample size
- prior knowledge
- upper and lower bounds
- reinforcement learning
- pac learning
- feature space
- pac learnability