Lecture

Vapnik-Chervonenkis dimension

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In course

MATH-412: Statistical machine learning

A course on statistical machine learning for supervised and unsupervised learning ...

Description

This lecture covers learning bounds for the misclassification error, Rademacher complexities for binary classifiers, Massart's lemma, growth function, shattering, and Vapnik-Chervonenkis dimension. It also includes examples with linear classifiers and rectangles, Sauer's lemma, polynomial upper bound, and learning bound based on VC dimension.

Instructor

Yoav Zemel

Official source

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