Deep Learning Model Selection With Parametric Complexity Control.
Olga S. GrebenkovaOleg Yu. BakhteevVadim V. StrijovPublished in: ICAART (2) (2023)
Keyphrases
- model selection
- deep learning
- unsupervised learning
- machine learning
- cross validation
- hyperparameters
- parameter estimation
- model selection criteria
- gaussian process
- feature selection
- mixture model
- statistical inference
- selection criterion
- computer vision
- marginal likelihood
- generalization error
- mental models
- information criterion
- weakly supervised
- automatic model selection
- segmentation algorithm
- bayesian information criterion
- knn
- decision trees