Structural learning in artificial neural networks using sparse optimization.
Mikael ManngårdJan KronqvistJari M. BölingPublished in: Neurocomputing (2018)
Keyphrases
- artificial neural networks
- structural learning
- neural network
- optimization algorithm
- computational intelligence
- graphical models
- back propagation
- directed acyclic graph
- multilayer perceptron
- sparse pca
- soft computing
- high dimensional
- lower bound
- bayesian networks
- sparse representation
- genetic algorithm ga
- parameter optimization
- image segmentation
- genetic algorithm