On the Importance of Communication and Errors in Supervised Learning of Artificial Neural Networks.
Ioan Valeriu GrossuC. I. CiuluvicaPublished in: CoRR (2013)
Keyphrases
- artificial neural networks
- supervised learning
- neural network
- unsupervised learning
- back propagation
- using artificial neural networks
- supervised classification
- training set
- training data
- relative importance
- computational intelligence
- feed forward
- information exchange
- semi supervised
- communication networks
- genetic algorithm ga
- genetic algorithm
- error analysis
- statistical learning
- multiple instance learning
- information sharing
- feed forward neural networks
- communication overhead
- communication protocol
- evolutionary artificial neural networks
- soft computing
- semi supervised learning
- learning algorithm
- recurrent neural networks
- communication cost
- estimation error
- generalization error
- neural network model
- unlabeled data
- sensor networks
- data points
- active learning
- evolutionary algorithm
- learning process
- receiver operating characteristic curves
- data mining