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ICML
2004
IEEE
16 years 21 days ago
Learning and evaluating classifiers under sample selection bias
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
ECML
2004
Springer
15 years 5 months ago
Constructive Induction for Classifying Time Series
Mohammed Waleed Kadous, Claude Sammut
COLT
2003
Springer
15 years 5 months ago
Boosting with Diverse Base Classifiers
Sanjoy Dasgupta, Philip M. Long