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VC dimension
In Vapnik–Chervonenkis theory, the Vapnik–Chervonenkis (VC) dimension is a measure of the capacity of a set of ...
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Vapnik–Chervonenkis dimension

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In Vapnik–Chervonenkis theory, the Vapnik–Chervonenkis dimension is a measure of the capacity of a set of functions that can be learned by a statistical binary classification algorithm. It is defined as the cardinality of the largest set of points that the algorithm can shatter. Wikipedia

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Apr 23, 2018 — The VC dimension of a classifier is defined by Vapnik and Chervonenkis to be the cardinality (size) of ...
VC-dimension of a set system is the cardinality of the largest subset of A that can be shattered. 1.1 Rectangles. Let's try ...
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Oct 29, 2007 — VC Dimension. Machine Learning – 10701/15781. Carlos Guestrin. Carnegie Mellon University.
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The Vapnik-Chervonenkis dimension (VC dimension) provides such a measure. – “What is the expressive capacity of a ...
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VC dim >= 4? Page 18. • Example: what's the VC dimension of the two- dimensional line ...
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VC dimension is a formal measure of bias which has played an important role in mathematical work on learnability.
by SC Tenka2021 — the VC-Dimension? Samuel C. Tenka. Wetzel's Cake Problem. Combinatorists and bakers alike know the sequence. 1, ...
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