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Microsoft
Creating Diverse Ensemble Classifiers to Reduce Supervision
For many predictive modeling tasks, acquiring supervised training data for building accurate classifiers is often difficult or expensive. Training data may either be limited, or often additional data may be acquired, but there is a cost associated with the acquisition. We study the problem of learning with reduced supervision in three setting ...
Oct 31, 2009
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