Construct · 1 fields · 1 citations

label noise: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

errors in the class labels of training data, which can degrade classifiers and require robust or cleaning methods.

In machine learning, label noise refers to errors in the class labels of training data, which can degrade classifiers and require robust or cleaning methods. This meaning comes from Frenay (2014) in IEEE Transactions on Neural Networks and Learning Systems.[1]

Unit
Recovery means
Measured by

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Nearby constructs

class3 fields · 3 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs noise4 fields · 5 citationsjingle · one word, four constructs

References

Frenay, B., & Verleysen, M. (2014). Classification in the Presence of Label Noise: A Survey. IEEE Transactions on Neural Networks and Learning Systems, 25(5), 845-869. https://doi.org/10.1109/tnnls.2013.2292894

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