This page hosts information on Katerina Papagiannouli's talk "What are... Support Vector Machines?" at the "What is …?" seminar.
Where & When
Friday, April 12, 2019, 1.15pm @ TU, BMS seminar room (MA 212)
Abstract
In this talk, we will introduce Support vector machines (SVMs). SVMs is a supervised learning method for classification. We will discuss about a particularly useful family of hypothesis spaces called Reproducing Kernel Hilbert spaces (RKHS) for non-linear classification. Finally, we will illustrate SVMs algorithm for pattern recognition using IRIS dataset.