Training neural networks with structured noise improves classification and generalization.
Marco BenedettiEnrico VenturaPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- multi layer perceptron
- pattern recognition
- training set
- decision trees
- training phase
- training algorithm
- training samples
- supervised learning
- classification accuracy
- decision rules
- support vector machine svm
- train a neural network
- learning vector quantization
- rule extraction
- text classification
- machine learning
- training patterns
- feature extraction
- artificial neural networks
- feature space
- image classification
- labelled data
- radial basis function network
- feed forward neural networks
- fuzzy logic
- training dataset
- back propagation
- feature vectors
- support vector machine
- training data
- cost sensitive
- incremental learning
- neural network model
- learning algorithm
- feature set
- radial basis function
- classification method