Random projections: A remedy for overfitting issues in time series prediction with echo state networks.
Lucie DaubigneyMatthieu GeistOlivier PietquinPublished in: ICASSP (2013)
Keyphrases
- echo state networks
- random projections
- recurrent neural networks
- compressed sensing
- dimension reduction
- dimensionality reduction
- image reconstruction
- compressive sensing
- sparse representation
- decision trees
- hash functions
- document clustering
- random sampling
- neural network
- feed forward
- high dimensional
- original data
- principal component analysis
- data sets