Learning with Support Vector Machines

Support Vectors Machines have become a well-established tool within machine learning. This introductory overview of Support Vectors Machines (SVM) starts with a simple SVM for performing binary classification, multi-class classification, and learning in the presence of noise. It shows this framework can be extended for prediction with real-valued outputs, novelty detection and the handling of complex output structures such as parse trees. ISBN 9781608456161, 95 pages.