Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks.
Pieter Van MolleTim VerbelenBert VankeirsbilckJonas De VylderBart DiricxTom KimpePieter SimoensBart DhoedtPublished in: Neural Comput. Appl. (2021)
Keyphrases
- neural network
- bhattacharyya coefficient
- mean shift
- uncertain data
- genetic algorithm
- pattern recognition
- artificial neural networks
- multi layer
- fault diagnosis
- neural network model
- fuzzy logic
- back propagation
- particle filter
- recurrent neural networks
- image processing
- conditional probabilities
- training process
- multilayer perceptron
- feature selection
- fuzzy systems
- machine learning