Random triples
| Subject | Object |
|---|---|
| gptkb:Gaussian_mixture_model | penalized likelihood |
| gptkb:Recurrent_neural_networks | dropout |
| gptkb:Gaussian_Mixture_Model | Dirichlet prior |
| gptkb:Gaussian_mixture_model | prior distributions |
| gptkb:Recurrent_neural_networks | weight decay |
| gptkb:Polynomial_Regression | gptkb:Ridge_Regression |
| gptkb:model | dropout |
| gptkb:Gaussian_Mixture_Models | Bayesian priors |
| gptkb:model | weight decay |
| gptkb:Polynomial_Regression | gptkb:Lasso_Regression |
| gptkb:model | batch normalization |