Assessing Deep Neural Networks as Probability Estimators.
Yu PanKwo-Sen KuoMichael L. RileeHongfeng YuPublished in: CoRR (2021)
Keyphrases
- neural network
- confidence intervals
- pattern recognition
- class membership probabilities
- probability distribution
- multilayer perceptron
- artificial neural networks
- fuzzy logic
- central limit theorem
- genetic algorithm
- back propagation
- probability theory
- conditional probabilities
- self organizing maps
- recurrent neural networks
- neural network model
- database
- fault diagnosis
- feed forward
- learning rules
- data sets