Semi-supervised learning combines a small amount of labeled data with a larger pool of unlabeled data to improve model performance.
AI Glossary
Semi-Supervised Learning
Coverage in development
Semi-supervised learning combines a small amount of labeled data with a larger pool of unlabeled data to improve model performance.
Definition
Plain English explanation
You label a little, leave most unlabeled, and the model uses both to learn better.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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