Almost linear VC-dimension bounds for piecewise polynomial networks

Nonparametric Time Series Prediction Through Adaptive ModelSelection

Machine Learning

Neural networks with local receptive fields and superlinear VC Dimension

Neural Computation

Radial Basis Function Neural Networks Have Superlinear VC Dimension

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

On the complexity of computing and learning with multiplicative neural networks

Neural Computation

On the Capabilities of Higher-Order Neurons: A Radial Basis Function Approach

Neural Computation

Neural networks and multimedia datasets: estimating the size of neural networks for achieving high classification accuracy

MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing

Designing neural networks for tackling hard classification problems

WSEAS TRANSACTIONS on SYSTEMS

Estimating the size of neural networks from the number of available training data

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

PAC learnability of rough hypercuboid classifier

ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications

Generalization ability of fractional polynomial models

Neural Networks