On Compression Principle and Bayesian Optimization for Neural Networks.
Michael TetelmanPublished in: CoRR (2020)
Keyphrases
- neural network
- fuzzy logic
- optimization algorithm
- bayesian networks
- pattern recognition
- optimization process
- highly non linear
- compression scheme
- optimization methods
- data driven
- monte carlo sampling
- global optimization
- compression algorithm
- compression ratio
- gaussian processes
- artificial neural networks
- data sets
- sufficient conditions
- rule extraction
- optimization model
- fuzzy neural network
- fuzzy systems
- posterior distribution
- optimization problems
- bayesian inference
- image compression
- multilayer perceptron
- posterior probability
- feed forward
- radial basis function
- power system
- back propagation