Training Echo State Networks with Regularization through Dimensionality Reduction.
Sigurd LøkseFilippo Maria BianchiRobert JenssenPublished in: CoRR (2016)
Keyphrases
- echo state networks
- dimensionality reduction
- recurrent neural networks
- data representation
- high dimensional
- feature extraction
- feature space
- early stopping
- high dimensionality
- test set
- structure preserving
- stochastic gradient descent
- manifold learning
- feature selection
- high dimensional data
- training samples
- low dimensional
- linear discriminant analysis
- principal components
- dimensionality reduction methods
- active learning
- training set
- image processing