On PAC learning of functions with smoothness properties using feedforward sigmoidal networks.
Nageswara S. V. RaoVladimir A. ProtopopescuPublished in: Proc. IEEE (1996)
Keyphrases
- feed forward
- pac learning
- activation function
- uniform distribution
- recurrent networks
- neural nets
- vc dimension
- computational learning theory
- feed forward neural networks
- artificial neural networks
- learning theory
- hidden layer
- recurrent neural networks
- neural network
- back propagation
- sample complexity
- learning problems
- statistical queries
- sample size
- visual cortex
- artificial intelligence
- adaptive neural
- contractual obligations
- membership queries
- biologically inspired
- concept classes
- basis functions
- expert systems
- computational complexity
- learning algorithm
- data mining