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ICML
2004
IEEE
162
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Machine Learning
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ICML 2004
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Learning and evaluating classifiers under sample selection bias
15 years 8 days ago
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www.research.ibm.com
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
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