Research Article
Training Classifiers under Covariate Shift by Constructing the Maximum Consistent Distribution Subset
Algorithm 3
The indirect classification algorithm of Scenario
1.
Require: the target training set , the target testing set , | the auxiliary sample set , a base learning algorithm Learner | Ensure: classification function | ; / denote the feature vectors set of / | ; / denote the target sample set/ | ; / denote the feature vectors set of / | ; /constructing the MIDS/ | ; /add the corresponding labels to the feature | vectors of / | / denotes the new training set/ | ; / denotes the function implemented by a base | learning algorithm trained on the new training set / |
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