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Everything about One-class classification

Approach to training in machine learning

In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, is an approach to the training of binary classifiers in which only examples of one of the two classes are used. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: One-class classificationA 5-minute orientation
  2. Skim a recent paper: Calibrated One-Class Classification for Unsupervised Time Series Anomaly DetectionInfluential work since 2022
  3. Pick up a classic book: Group theory, combinatorics and computingThe most-reprinted book on the subject
  4. Read the landmark paper: Learning Deep Features for One-Class ClassificationCited 305 times
  5. Go sideways: Geometric feature learningA closely related topic
  6. Go sideways: Ranking SVMA closely related topic

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🗂️ The subject at a glance

  1. Overview
  2. Introduction
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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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🔗 Related topics