This book is written to provide an introduction to support vector machines with a minimum of technical background in order to make the material as widely accessible as possible. This presents a gentle tutorial on support vector machines for machine learning researchers and other practitioners by focusing on introducing the reader to the subject material in a well motivated setting wherethe technical prerequisites are kept to a minimum. This book bridges the information gap by providing an introduction to support vector machines solely based on material most U.S. third year students enrolled in a bachelor of sciencedegree will have covered (e.g. linear algebra, calculus, basic probability). This book does not touch upon statistical learning theory, but it does make understanding the nuances of this theory a prerequisite to understanding supportvector machines.
- ISBN: 978-0-470-37192-3
- Editorial: John Wiley & Sons
- Encuadernacion: Cartoné
- Páginas: 262
- Fecha Publicación: 04/09/2009
- Nº Volúmenes: 1
- Idioma: Inglés