Learning and relearning in Boltzmann machines
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural networks and the bias/variance dilemma
Neural Computation
A practical Bayesian framework for backpropagation networks
Neural Computation
Neural networks for admission control in an ATM network
selected papers from the Swedish conference on Connectionism in a broad perspective
Training with noise is equivalent to Tikhonov regularization
Neural Computation
Neural Computation
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Second Order Derivatives for Network Pruning: Optimal Brain Surgeon
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Complete and partial fault tolerance of feedforward neural nets
IEEE Transactions on Neural Networks
Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization
Neural Processing Letters
Assessing the Noise Immunity and Generalization of Radial Basis Function Networks
Neural Processing Letters
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