Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation.
Piotr CalMichal WozniakPublished in: HAIS (2) (2012)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- mixture model
- learning algorithm
- machine learning
- domain knowledge
- regression model
- feature selection
- generalization bounds
- drift detection
- machine learning algorithms
- selection criterion
- error estimation
- semi supervised
- variable selection
- gaussian process
- marginal likelihood
- model selection criteria