Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Erheng ZhongWei FanQiang YangOlivier VerscheureJiangtao RenPublished in: ECML/PKDD (3) (2010)
Keyphrases
- cross validation
- transfer learning
- model selection
- cross domain
- probabilistic model
- training and test data
- cross validated
- knowledge transfer
- hyperparameters
- multi task
- parameter estimation
- standard learning algorithms
- prediction model
- active learning
- support vector
- structure learning
- machine learning
- test set
- semi supervised learning
- labeled data
- prior knowledge
- unseen data
- information retrieval
- real world