Quantifying Classification Uncertainty using Regularized Evidential Neural Networks.
Xujiang ZhaoYuzhe OuLance M. KaplanFeng ChenJin-Hee ChoPublished in: CoRR (2019)
Keyphrases
- neural network
- pattern recognition
- rule extraction
- feature space
- image classification
- classification accuracy
- decision trees
- classification method
- learning vector quantization
- automatic classification
- feature vectors
- training samples
- pattern classification
- training process
- classification scheme
- learning algorithm
- genetic algorithm
- classification systems
- neural networks and support vector machines
- multi layer perceptron
- unsupervised learning
- preprocessing
- feature set
- supervised learning
- fuzzy logic
- feature selection
- feature extraction
- classification process
- artificial neural networks
- active learning
- support vector machine
- machine learning methods
- text classification
- classification algorithm
- back propagation
- benchmark datasets
- support vector machine svm