DME Handout: Support Vector Machines
Support Vector Machines (SVMs) are a relatively new concept in supervised learning, but since the publication of [3] in 1995 they have been applied to a wide variety of problems. In many ways the application of SVMs to almost any learning problem mirrors the enthusiasm (and fashionability) that was observed for neural networks in the second half of the 1980’s. The ingredients of the SVM had, in fact, been around for a decade or so, but they were not put together until the early 90’s. The two key ideas of support vector machines are