Model Selection for Generalized Zero-shot Learning.
Hongguang ZhangPiotr KoniuszPublished in: CoRR (2018)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- statistical learning
- sample size
- bayesian learning
- model selection criteria
- gaussian process
- regression model
- machine learning
- feature selection
- motion segmentation
- statistical inference
- error estimation
- information criterion
- variable selection
- mixture model
- generalization error
- selection criterion
- parameter determination
- marginal likelihood
- least squares
- meta learning
- bayesian information criterion
- leave one out cross validation
- bayesian model selection
- data mining
- learning algorithm
- learning theory