Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data.
Herbert GishJan SilovskýMan-Ling SungMan-Hung SiuWilliam HartmannZhuolin JiangPublished in: CoRR (2019)
Keyphrases
- training process
- training data
- neural network
- training set
- training patterns
- training examples
- training algorithm
- training samples
- test set
- supervised learning
- labeled data for training
- feedforward neural networks
- feed forward neural networks
- multi layer perceptron
- learning algorithm
- data sets
- training and testing data
- labelled data
- decision trees
- training dataset
- training and test data
- support vector machine
- pattern recognition
- artificial neural networks
- avoid overfitting
- labeled data
- multi layer
- back propagation
- classification accuracy
- active learning
- genetic algorithm
- error back propagation
- neural network structure
- fuzzy logic
- multilayer perceptron
- annotation effort
- neural network training
- machine learning
- semi supervised learning
- training phase
- hidden layer
- neural network model