Comparing the quality of neural network uncertainty estimates for classification problems.
Daniel RiesJoshua MichalenkoTyler GanterRashad Imad-Fayez BaiyasiJason AdamsPublished in: CoRR (2023)
Keyphrases
- neural network
- high quality
- artificial neural networks
- measurement error
- fault diagnosis
- neural network model
- sufficiently accurate
- neural nets
- fuzzy logic
- back propagation
- incomplete information
- network model
- radial basis function
- training algorithm
- higher quality
- imprecise data
- neural network is trained
- quality measures
- conditional probabilities
- database
- probability distribution
- expert systems
- support vector
- real time