Equivalent error bars for neural network classifiers trained by Bayesian inference.
Peter SykacekPublished in: ESANN (1997)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- variational bayes
- prior information
- bayesian model
- statistical inference
- gibbs sampler
- error rate
- hierarchical bayesian
- variational inference
- hidden variables
- particle filter
- training set
- expectation propagation
- markov chain monte carlo
- probabilistic modeling
- learning algorithm
- conditional random fields