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Since expert humans that can accurately label data are a scarce resource and labeling is often the most time-consuming activity in the machine-learning workflow, semi-supervised techniques lower the cost of training and make machine learning feasible for a new class of users.
The Commerce Department said the granting of some licenses did not change Huawei’s inclusion on the department’s Entity List â€ of companies considered national security risks, and that the granting of some licenses did not change a temporary 90-day reprieve that the Commerce Department issued this week intended primarily to benefit rural telecoms dependent on Huawei equipment.
Unlike either unsupervised learning where a machine infers classes in unlabeled data or supervised techniques where the training set is entirely labeled, semi-supervised techniques take advantage of a small set of labeled data and a much larger set of unlabeled data.