Self-Compression in Bayesian Neural Networks.
Giuseppina CarannanteDimah DeraGhulam RasoolNidhal C. BouaynayaPublished in: MLSP (2020)
Keyphrases
- neural network
- image compression
- back propagation
- data compression
- pattern recognition
- neural network model
- compression scheme
- artificial neural networks
- genetic algorithm
- neural nets
- compression ratio
- fuzzy logic
- compression algorithm
- bayesian learning
- feed forward
- bayesian estimation
- cellular neural networks
- neural network is trained
- computational complexity
- maximum likelihood
- multi layer
- fuzzy systems
- training process
- gaussian processes
- data driven
- bayesian decision
- competitive learning
- hopfield neural network
- random access
- decision theory
- learning rules
- multi layer perceptron
- bayesian inference
- posterior probability
- image coding
- self organizing maps
- fault diagnosis
- bayesian networks
- machine learning