Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models

19 Jun 2019Xinwei ZhangZhiqiang Tan

Consider semi-supervised learning for classification, where both labeled and unlabeled data are available for training. The goal is to exploit both datasets to achieve higher prediction accuracy than just using labeled data alone... (read more)

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