We present results that compare the performance of neural networks trained with two Bayesian methods, (i) the Evidence Framework of MacKay (1992) and (ii) a Markov Chain Monte Carlo method due to Neal (1996) on a task of classifying segmented outdoor images. We also investigate the use of the Automatic Relevance Determination method for input feature selection.
|Title of host publication||Fifth International Conference on Artificial Neural Networks|
|Place of Publication||Cambridge, UK|
|Number of pages||6|
|Publication status||Published - 9 Jul 1997|
- neural networks
- Automatic Relevance Determination
- feature selection