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Semi-supervised Feature Extraction
Definition
Feature extraction refers to reducing the number of dimensions in a data point so that it is computationally feasible and effective to learn a model.
References
Jashish Shrestha. (n.d.). Beginner's Guide to Semi-Supervised Learning. Link
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A knowledge graph of cybersecurity countermeasures