The difference between memory and prediction in linear recurrent networks.
Sarah MarzenPublished in: CoRR (2017)
Keyphrases
- recurrent networks
- recurrent neural networks
- prediction accuracy
- prediction error
- linear prediction
- feed forward
- memory usage
- prediction model
- data sets
- closed form
- neural network
- memory size
- linear systems
- memory requirements
- objective function
- operating system
- least squares
- transfer function
- data streams
- memory space
- decision trees
- prediction algorithm
- information systems
- artificial intelligence
- shift register