Shattering all sets of k points in “general position” requires (k − 1)/2 parameters

Finiteness results for sigmoidal “neural” networks

STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing

Feedforward nets for interpolation and classification

Journal of Computer and System Sciences

Polynomial bounds for VC dimension of sigmoidal and general Pfaffian neural networks

Journal of Computer and System Sciences - Special issue: dedicated to the memory of Paris Kanellakis

Neural networks with quadratic VC dimension

Journal of Computer and System Sciences - Special issue: dedicated to the memory of Paris Kanellakis

Estimates of storage capacity of multilayer perceptron with threshold logic hidden units

Neural Networks

Lower bounds for the computational power of networks of spiking neurons

Neural Computation