Evaluating Threshold for Retraining Rule in Semi-supervised Learning Using Multi-expert System


The creation of training set, for pattern recognition, is a difficult, expensive and time consuming task because it requires the efforts of experienced human annotators. On the other hand, unlabeled data can be obtained cheaply, but there are few ways to use them. Semi-Supervised learning uses both labeled and unlabeled data for classification task. In this… (More)
DOI: 10.1109/ICFHR.2014.36


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