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A bagging SVM to learn from positive and unlabeled examples
A bagging SVM learn from positive unlabeled examples
2010/10/14
We consider the problem of learning a binary classifier from a training set of positive and unlabeled examples, both in the inductive and in the transductive setting. This problem, often referred to a...
Bagging multiple comparisons from microarray data
Bagging multiple comparisons microarray data
2010/4/29
Bagging multiple comparisons from microarray data。