Recurrent Neural Networks for Autoregressive Moving Average Model Selection.
Bei ChenBeat BuesserKelsey DiPietroPublished in: ICBK (2019)
Keyphrases
- recurrent neural networks
- model selection
- autoregressive moving average
- artificial neural networks
- autoregressive
- cross validation
- feed forward
- neural network
- multiscale
- hyperparameters
- regression model
- sample size
- recurrent networks
- parameter estimation
- echo state networks
- model selection criteria
- machine learning
- gaussian process
- mixture model
- motion segmentation
- back propagation
- selection criterion
- information criterion
- marginal likelihood
- bayesian information criterion
- automatic model selection
- sar images
- wavelet denoising
- feature selection
- genetic algorithm
- natural images
- similarity measure