Construct · 1 fields · 1 citations

novelty detection: a standalone construct

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Machine learning

identifying test data that differ from the normal data a model was trained on, when abnormal examples are scarce.

In machine learning, novelty detection refers to identifying test data that differ from the normal data a model was trained on, when abnormal examples are scarce. This meaning comes from Pimentel (2014) in Signal Processing.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs normal3 fields · 7 citationsjingle · one word, three constructs

References

Pimentel, M. A. F., Clifton, D. A., Clifton, L., & Tarassenko, L. (2014). A review of novelty detection. Signal Processing, 99, 215-249. https://doi.org/10.1016/j.sigpro.2013.12.026

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