Hyper-parameters Tuning of Artificial Neural Networks: An Application in the Field of Recommender Systems.
Vaios StergiopoulosMichael VassilakopoulosEleni TousidouAntonio CorralPublished in: ADBIS (Short Papers) (2022)
Keyphrases
- hyperparameters
- artificial neural networks
- recommender systems
- model selection
- random sampling
- closed form
- cross validation
- parameter settings
- bayesian framework
- bayesian inference
- support vector
- em algorithm
- prior information
- variational bayes
- neural network
- sample size
- maximum likelihood
- noise level
- genetic algorithm
- parameter optimization
- maximum a posteriori
- decision trees
- incomplete data
- posterior distribution
- data sets
- genetic algorithm ga
- parameter space
- simulated annealing