Comparing the quality of neural network uncertainty estimates for classification problems.
Daniel RiesJoshua MichalenkoTyler GanterRashad Imad-Fayez BaiyasiJason AdamsPublished in: ICMLA (2022)
Keyphrases
- neural network
- high quality
- fuzzy logic
- back propagation
- artificial neural networks
- higher quality
- genetic algorithm
- pattern recognition
- fault diagnosis
- inherent uncertainty
- network model
- uncertain data
- data quality
- recurrent neural networks
- multi layer
- feed forward
- learning vector quantization
- measurement error
- data sets