Semisupervised learning using feature se
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Yoshiyuki Nakatani; Kuangyi Zhu; Kuniaki Uehara
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Article
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2007
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John Wiley and Sons
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English
β 511 KB
## Abstract In machine learning tasks on largeβscale datasets, the labeled data essential to the classification are not always sufficient, which degrades the learning accuracy. Meanwhile, unlabeled data are always abundant. Hence, semisupervised learning which uses both unlabeled and labeled data t