Differentiable Bayesian Neural Network Inference for Data Streams.
Namuk ParkTaekyu LeeSongkuk KimPublished in: CoRR (2019)
Keyphrases
- data streams
- neural network
- bayesian inference
- bayesian networks
- sliding window
- anytime classification
- inference process
- probabilistic inference
- sensor networks
- streaming data
- objective function
- artificial neural networks
- bayesian models
- statistical inference
- bayesian model
- neural network model
- change detection
- stream data
- back propagation
- collective classification
- feed forward
- pattern recognition
- concept drift
- data sets
- stream mining
- genetic algorithm
- graphical models
- fuzzy logic
- network architecture
- bayesian learning
- associative memory
- prediction model
- self organizing maps
- probabilistic model
- random fields
- neural nets
- bp neural network
- posterior probability
- model selection
- continuous data streams
- bayesian model selection