A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples.
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A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples.
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Semi-Supervised Learning; Text Classification; Bisecting k-means Clustering; Learning from Positive and Unlabeled Examples (LPU)
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A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples.
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