Book Image

Learning Bayesian Models with R

By : Hari Manassery Koduvely
Book Image

Learning Bayesian Models with R

By: Hari Manassery Koduvely

Overview of this book

Table of Contents (16 chapters)
Learning Bayesian Models with R
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

References


  1. MacKay D. J. C. Information Theory, Inference and Learning Algorithms. Cambridge University Press. 2003. ISBN-10: 0521642981

  2. MacKayD. J. C. "The Evidence Framework Applied to Classification Networks". Neural Computation. Volume 4(3), 698-714. 1992

  3. MacKay D. J. C. "Probable Networks and Plausible Predictions – a review of practical Bayesian methods for supervised neural networks". Network: Computation in neural systems

  4. Hinton G. E., Rumelhart D. E., and Williams R. J. "Learning Representations by Back Propagating Errors". Nature. Volume 323, 533-536. 1986

  5. MacKay D. J. C. "Bayesian Interpolation". Neural Computation. Volume 4(3), 415-447. 1992

  6. Hinton G. E., Krizhevsky A., and Sutskever I. "ImageNet Classification with Deep Convolutional Neural Networks". Advances In Neural Information Processing Systems (NIPS). 2012

  7. Hinton G., Osindero S., and Teh Y. "A Fast Learning Algorithm for Deep Belief Nets". Neural Computation. 18:1527–1554. 2006

  8. Hinton G. and Salakhutdinov R. "Reducing the Dimensionality...