On the Sample Complexity for Nonoverlapping Neural Networks.
Michael SchmittPublished in: Mach. Learn. (1999)
Keyphrases
- sample complexity
- neural network
- theoretical analysis
- upper bound
- learning problems
- lower bound
- pac learning
- learning algorithm
- special case
- active learning
- vc dimension
- supervised learning
- sample size
- training examples
- pac learnability
- generalization error
- sample complexity bounds
- concept classes
- average case
- linear threshold
- data sets
- text categorization
- model selection
- image classification