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125
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ASUNAM
2010
IEEE
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ASUNAM 2010
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Semi-Supervised Classification of Network Data Using Very Few Labels
15 years 4 months ago
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www.cs.cmu.edu
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
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