An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers.
Dirk HusmeierWilliam D. PennyStephen J. RobertsPublished in: Neural Networks (1999)
Keyphrases
- monte carlo
- monte carlo methods
- importance sampling
- adaptive sampling
- markov chain
- monte carlo simulation
- markov chain monte carlo
- markovian decision
- conditional density estimation
- monte carlo tree search
- monte carlo method
- training set
- variance reduction
- temporal difference
- particle filter
- stochastic approximation
- point processes
- bayesian networks
- bayesian learning
- maximum likelihood
- support vector machine
- active learning