Bayesian neural networks for classification: how useful is the evidence framework?
- 1 July 1999
- journal article
- Published by Elsevier in Neural Networks
- Vol. 12 (6) , 877-892
- https://doi.org/10.1016/s0893-6080(99)00040-4
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiersNeural Networks, 1999
- A comparison of fast fourier transform (FFT) and autoregressive (AR) spectral estimation techniques for the analysis of tremor dataJournal of Neuroscience Methods, 1998
- RELEVANT INPUT FEATURES FOR SLEEP STAGING WITH NEURAL NETWORKSJournal of Neurosurgical Anesthesiology, 1997
- Neural Networks in Clinical MedicineMedical Decision Making, 1996
- A review of Bayesian neural networks with an application to near infrared spectroscopyIEEE Transactions on Neural Networks, 1996
- Bayesian Regularization and Pruning Using a Laplace PriorNeural Computation, 1995
- Neural Networks and Related Methods for ClassificationJournal of the Royal Statistical Society Series B: Statistical Methodology, 1994
- The Evidence Framework Applied to Classification NetworksNeural Computation, 1992
- Bayesian InterpolationNeural Computation, 1992
- On the Asymptotic Behaviour of Posterior DistributionsJournal of the Royal Statistical Society Series B: Statistical Methodology, 1969