Question
What characterizes semi-supervised learning?
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Correct Answer: A. It uses a small labeled dataset together with a larger unlabeled dataset
Explanation:
Semi-supervised methods exploit unlabeled structure while learning from limited labels.
This is useful when labeling is expensive but raw data are abundant.
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