Hyper-parameter selection in deep neural networks using parallel particle swarm optimization.
Pablo Ribalta LorenzoJakub NalepaLuciano Sánchez RamosJosé Ranilla PastorPublished in: GECCO (Companion) (2017)
Keyphrases
- neural network
- parallel particle swarm optimization
- hyperparameters
- pattern recognition
- random sampling
- model selection
- em algorithm
- parameter settings
- fuzzy logic
- incremental learning
- bayesian inference
- genetic algorithm
- machine learning
- maximum likelihood
- artificial neural networks
- feature selection
- learning algorithm
- supervised learning
- genetic algorithm ga
- closed form
- bayesian framework
- computer vision
- incomplete data