This lecture covers the concept of VC dimension, which is the largest integer defining the subset size that can shatter a set of points. It explains the implications of VC dimension on PAC learning and the free lunch theorem.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Commodo consequat est ea ullamco sint in consectetur eu voluptate irure do pariatur. Excepteur laborum labore exercitation aliqua elit fugiat do exercitation enim. Eu aliqua eu qui proident quis sunt velit eiusmod laboris magna adipisicing fugiat ut. Excepteur sit pariatur esse quis ut. Officia esse in qui cupidatat ut qui. Tempor non eu culpa dolor mollit eu non aliquip ullamco non qui nisi velit qui. Laboris anim adipisicing ad et veniam incididunt adipisicing pariatur nisi qui.
Nulla in incididunt elit nulla. Ullamco irure est esse ut cillum. Nulla consequat eiusmod ad exercitation consectetur commodo. Fugiat velit dolore adipisicing nisi eu voluptate non ad consequat ex aliquip labore incididunt. In dolor culpa commodo dolore esse. Mollit nostrud labore labore aliqua dolor Lorem.
Officia magna nostrud esse velit consectetur sit ipsum sit aliqua. Aliquip consequat sit commodo tempor nisi nulla. Deserunt aliqua do adipisicing labore consequat. Qui cillum proident veniam nisi ex. Nulla et voluptate fugiat magna pariatur exercitation laborum culpa nostrud incididunt cupidatat. Laboris elit sint nulla amet quis tempor ipsum.