Vapnik-Chervonenkis theory (also known as VC theory) was developed during 1960-1990 by Vladimir Vapnik and Alexey Chervonenkis. The theory is a form of computational learning theory, which attempts to explain the learning process from a statistical point of view. VC theory covers at least four parts:
* Theory of consistency of learning processes
* Nonasymptotic theory of the rate of convergence of learning processes
* Theory of controlling the generalization ability of learning processes
* Theory of constructing learning machines
Vapnik Chervonenkis Theory google