Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models.
Christian LimbergHeiko WersingHelge J. RitterPublished in: Mach. Learn. Knowl. Extr. (2020)
Keyphrases
- cross validation
- learning models
- model selection
- error estimates
- leave one out cross validation
- support vector
- training set
- unseen data
- machine learning algorithms
- learning algorithm
- generalization error
- variable selection
- loss function
- machine learning
- learning tasks
- classification accuracy
- classification models
- error analysis
- learning problems
- semi supervised learning
- error estimation
- training data
- conditional random fields
- text categorization
- higher order
- grid search