An Introduction to Support Vector Machines and

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods John Shawe-Taylor, Nello Cristianini
Publisher: Cambridge University Press

It just struck me as an odd coincidence. Mathematical methods in statistics. In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression .. "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods". Introduction to support vector machines and other kernel-based learning methods. Shawe, An Introduction to Support Vector Machines and other Kernel-based Learning Methods, Cambridge University Press, New York, 2000. In this work, we provide extended details of our methodology and also present analysis that tests the performance of different supervised machine learning methods and investigates the discriminative influence of the proposed features. Cristianini, N., & Shawe-Taylor, J. Shawe-Taylor, An Introduction to Support Vector Machines: And Other Kernel-Based Learning Methods, Cambridge University Press, New York, NY, 2000. 4th Edition, Academic Press, 2009, ISBN 978-1-59749-272-0; Cristianini, Nello; and Shawe-Taylor, John; An Introduction to Support Vector Machines and other kernel-based learning methods, Cambridge University Press, 2000. Princeton, NJ: Princeton University Press.