Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection.
Yue LiuWenjie TianShuang LiPublished in: PAKDD (3) (2021)
Keyphrases
- model selection
- search strategy
- cross validation
- search strategies
- search space
- hyperparameters
- search algorithm
- bayesian learning
- unsupervised learning
- regression model
- parameter estimation
- error estimation
- statistical inference
- metadata
- meta learning
- selection criterion
- mixture model
- sample size
- model selection criteria
- statistical learning
- machine learning
- feature selection
- motion segmentation
- gaussian process
- marginal likelihood
- generalization bounds
- leave one out cross validation
- generalization error
- effective pruning
- parameter determination
- bayesian methods
- generative model
- learning algorithm
- information criterion
- posterior distribution
- gaussian mixture model