A note on sample complexity of learning binary output neural networks under fixed input distributions
Vladimir PestovPublished in: CoRR (2010)
Keyphrases
- neural network
- sample complexity
- learning algorithm
- learning problems
- decision lists
- machine learning
- learning process
- supervised learning
- unsupervised learning
- reinforcement learning
- decision trees
- input data
- prior knowledge
- theoretical analysis
- rbf network
- inductive inference
- pac learning
- concept classes
- e learning
- sample complexity bounds