Forensicability of Deep Neural Network Inference Pipelines.
Alexander SchlöglTobias KupekRainer BöhmePublished in: ICASSP (2021)
Keyphrases
- neural network
- probabilistic inference
- artificial neural networks
- bayesian networks
- neural nets
- neural network model
- back propagation
- fault diagnosis
- genetic algorithm
- recurrent neural networks
- training algorithm
- inference engine
- fuzzy logic
- inference mechanism
- dynamic bayesian networks
- inference process
- multi layer
- bayesian inference
- learning vector quantization
- neural network is trained
- belief networks
- feed forward
- self organizing maps
- expert systems
- pattern recognition
- multilayer perceptron
- training process
- big data
- probabilistic reasoning
- radial basis function
- bayesian model
- structured prediction
- hidden markov models
- auto associative