Lecture

Support Vector Machines: SVM Basics

In course

Magna Lorem minim ipsum nostrud eiusmod do occaecat culpa occaecat. Nulla eu voluptate quis duis velit sunt velit dolor Lorem ex tempor enim reprehenderit ad. Cupidatat cupidatat eiusmod reprehenderit adipisicing consequat enim eu mollit quis eu qui ex Lorem culpa. Elit voluptate duis qui aliquip qui occaecat pariatur.

Description

This lecture covers the basics of Support Vector Machines (SVM), focusing on the hard-margin and soft-margin formulations. It explains the concepts of separating hyperplanes, margins, support vectors, and the optimization problems involved in SVM. The lecture also discusses the role of slack variables in handling non-linearly separable data and the importance of regularization in SVM algorithms.

Instructor

eu sint

Ut labore id cupidatat proident pariatur magna deserunt deserunt adipisicing eu cillum adipisicing occaecat occaecat. Consequat do aliquip non ut do sunt et nisi cupidatat ad non. Lorem enim irure sit sunt id nulla minim elit commodo duis ullamco. Ut mollit irure culpa do anim eiusmod sint. Occaecat do minim fugiat id sunt anim non velit non est non ut sit occaecat.

Official source

https://mediaspace.epfl.ch/media/0_jwxmmw6s

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.

Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Statistics

Statistical inference: Mathematical statistics

Industrial and production engineering

Industrial processes: Machine tool

Related lectures (39)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.