Lecture
SVM for Non-separable Datasets
Description
This lecture covers the application of Support Vector Machine (SVM) for non-separable datasets, introducing slack variables to relax constraints and optimize the margin. It explains the optimization problem, tradeoff between margin and slack, and the three cases for classification. The dual form of SVM is also presented.
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.