Adaptive model selection in photonic reservoir computing by reinforcement learning.
Kazutaka KannoMakoto NaruseAtsushi UchidaPublished in: CoRR (2020)
Keyphrases
- model selection
- reinforcement learning
- reservoir computing
- cross validation
- recurrent neural networks
- parameter estimation
- machine learning
- hyperparameters
- bayesian learning
- regression model
- model selection criteria
- mixture model
- statistical inference
- sample size
- error estimation
- generalization error
- feature selection
- statistical learning
- meta learning
- variable selection
- selection criterion
- motion segmentation
- state space
- information criterion
- multivariate regression
- data mining
- parameter determination
- marginal likelihood
- bayesian information criterion
- leave one out cross validation
- adaptive filtering
- automatic model selection
- learning algorithm
- markov random field