Inductive Bias in Recurrent Neural Networks.
Sean SnydersChristian W. OmlinPublished in: IWANN (1) (2001)
Keyphrases
- recurrent neural networks
- inductive bias
- inductive learning
- machine learning
- pac learning
- prior knowledge
- supervised learning
- domain knowledge
- neural network
- hypothesis space
- domain theory
- feed forward
- artificial neural networks
- training examples
- echo state networks
- recurrent networks
- multitask learning
- training set
- uniform distribution
- learning algorithm
- lower bound
- support vector
- previously learned