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Active learning: Difference between revisions
Created page with "{{see also|Machine learning terms}} ==Introduction== Active learning is a subfield of machine learning that seeks to enhance the performance of an algorithm by iteratively selecting informative samples from large pools of unlabeled data to be labeled by humans or an oracle. The goal is to optimize this labeling process and achieve higher accuracy with fewer labeled data points. Active learning has gained widespread attention recently due to its potential for reducing cos..."
(Created page with "{{see also|Machine learning terms}} ==Introduction== Active learning is a subfield of machine learning that seeks to enhance the performance of an algorithm by iteratively selecting informative samples from large pools of unlabeled data to be labeled by humans or an oracle. The goal is to optimize this labeling process and achieve higher accuracy with fewer labeled data points. Active learning has gained widespread attention recently due to its potential for reducing cos...") |
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