Bayesian optimization of hyper-parameters in reservoir computing.
Jan YpermanThijs BeckerPublished in: CoRR (2016)
Keyphrases
- hyperparameters
- bayesian inference
- posterior distribution
- reservoir computing
- conjugate priors
- maximum likelihood
- model selection
- bayesian methods
- parameter optimization
- grid search
- cross validation
- support vector
- gaussian processes
- closed form
- em algorithm
- bayesian framework
- prior information
- variational bayes
- random sampling
- gaussian process
- recurrent neural networks
- noise level
- bayesian learning
- sample size
- bayesian networks
- incremental learning
- genetic algorithm ga
- missing values
- incomplete data
- maximum a posteriori
- parameter space
- sliding window
- parameter estimation
- neural network
- expectation maximization
- simulated annealing