Lecture
Support Vector Machine: Primal Formulation with Hard Margin
Description
This lecture introduces the concept of Support Vector Machine with a hard margin formulation, focusing on defining a separating hyperplane using a normal vector and ensuring that the margin between classes is maximized. The instructor explains how to determine the hyperplanes for positive and negative classes, the importance of the margin parameter, and the classification process based on the dot product of observations with the normal vector.
Official source
About this result
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.