Impact of Hyperparameters on the Generative Adversarial Networks Behavior.
Bihi SabiriBouchra El AsriMaryem RhanouiPublished in: ICEIS (1) (2022)
Keyphrases
- hyperparameters
- model selection
- cross validation
- gaussian process
- random sampling
- closed form
- support vector
- bayesian framework
- prior information
- conjugate priors
- em algorithm
- maximum likelihood
- generative model
- maximum a posteriori
- regularization parameter
- posterior distribution
- bayesian inference
- noise level
- sample size
- incremental learning
- gaussian processes
- machine learning
- incomplete data
- image processing
- prior knowledge
- expectation maximization
- parameter settings
- missing values