Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects?
Simone BrugiapagliaPaul F. TupperMatthew LiuPublished in: CogSci (2020)
Keyphrases
- neural network
- training set
- training data
- test set
- artificial neural networks
- genetic algorithm
- learning rules
- classification accuracy
- data sets
- training patterns
- multi layer
- training samples
- pattern recognition
- database
- supervised learning
- fuzzy systems
- fault diagnosis
- feature selection
- recurrent neural networks
- multilayer perceptron
- test images
- function approximators
- social networks
- class distribution
- neural nets
- feed forward
- support vector machine
- test data
- cross validation
- back propagation
- error rate
- active learning
- nearest neighbor