VC dimension

E1115572 UNEXPLORED

VC dimension is a fundamental measure of the capacity or complexity of a hypothesis class in statistical learning theory, indicating how well it can fit diverse datasets.

Try in SPARQL Jump to: Surface forms Referenced by

All labels observed (1)

Label	Occurrences
VC dimension canonical	3

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Probably Approximately Correct learning (PAC learning) → relatedTo → VC dimension ⓘ

subject surface form: Probably Approximately Correct learning

Vladimir Vapnik → knownFor → VC dimension ⓘ

Vladimir Vapnik → hasConceptNamedAfter → VC dimension ⓘ