Construct · 1 fields · 1 citations

Rademacher complexity: a standalone construct

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Learning theory

a data-dependent measure of how well a class of functions can fit random signs, used to bound the gap between training and test error.

In learning theory, Rademacher complexity refers to a data-dependent measure of how well a class of functions can fit random signs, used to bound the gap between training and test error. This meaning comes from Koltchinskii (2001) in IEEE Transactions on Information Theory.[1]

Unit
Recovery means
Measured by

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Nearby constructs

class3 fields · 3 citationsjingle · one word, three constructs complexity4 fields · 7 citationsjingle · one word, four constructs error4 fields · 8 citationsjingle · one word, four constructs

References

Koltchinskii, V. (2001). Rademacher penalties and structural risk minimization. IEEE Transactions on Information Theory, 47(5), 1902-1914. https://doi.org/10.1109/18.930926

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