Research Article
Training Classifiers under Covariate Shift by Constructing the Maximum Consistent Distribution Subset
Algorithm 2
The direct 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 | | ; / denotes the target sample set/ | | ; /constructing the MIDS/ | | ; / denotes the new training set/ | | ; / denotes the function implemented by a base | | learning algorithm trained on the new training set / |
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