References
MacKay D. J. C. Information Theory, Inference and Learning Algorithms. Cambridge University Press. 2003. ISBN-10: 0521642981
MacKayD. J. C. "The Evidence Framework Applied to Classification Networks". Neural Computation. Volume 4(3), 698-714. 1992
MacKay D. J. C. "Probable Networks and Plausible Predictions – a review of practical Bayesian methods for supervised neural networks". Network: Computation in neural systems
Hinton G. E., Rumelhart D. E., and Williams R. J. "Learning Representations by Back Propagating Errors". Nature. Volume 323, 533-536. 1986
MacKay D. J. C. "Bayesian Interpolation". Neural Computation. Volume 4(3), 415-447. 1992
Hinton G. E., Krizhevsky A., and Sutskever I. "ImageNet Classification with Deep Convolutional Neural Networks". Advances In Neural Information Processing Systems (NIPS). 2012
Hinton G., Osindero S., and Teh Y. "A Fast Learning Algorithm for Deep Belief Nets". Neural Computation. 18:1527–1554. 2006
Hinton G. and Salakhutdinov R. "Reducing the Dimensionality...
