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113
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ECML
2005
Springer
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Machine Learning
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ECML 2005
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Learning from Positive and Unlabeled Examples with Different Data Distributions
15 years 8 months ago
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www.cs.uic.edu
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
Xiaoli Li, Bing Liu
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