Research Article
Training Classifiers under Covariate Shift by Constructing the Maximum Consistent Distribution Subset
Algorithm 5
The indirect classification algorithm of Scenario
2.
Require: the target training set , the target testing set | , a base learning algorithm Learner | Ensure: classification function | ; / denote the feature vectors set of / | ; /constructing the MIDS/ | ; /add the corresponding labels to the feature | vectors of / | ; / denotes the function implemented by a base | learning algorithm trained on the new training set / |
|