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Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers

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3 Author(s)

This chapter contains sections titled: Do Unlabeled Data Improve or Degrade Classification Performance?, Understanding Unlabeled Data: Asymptotic Bias, The Asymptotic Analysis of Generative Semi-Supervised Learning, The Value of Labeled and Unlabeled Data, Finite Sample Effects, Model Search and Robustness, Conclusion