Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks.
Mohamed FakhfakhBassem BouazizFaïez GargouriLotfi ChaâriPublished in: ISBI (2022)
Keyphrases
- artificial neural networks
- sparse bayesian learning
- neural network
- using artificial neural networks
- posterior probability
- efficient optimization
- back propagation
- optimization problems
- optimization algorithm
- sparse representation
- genetic algorithm ga
- sparse pca
- maximum likelihood
- optimization method
- global optimization
- feed forward
- soft computing
- application of artificial neural networks
- constrained optimization
- computational intelligence
- feed forward neural networks
- genetic algorithm
- neural models
- high dimensional
- optimization process
- optimization methods
- dynamic model
- multilayer perceptron