Support Vector Machines, Kernel‑based Learning Methods, Statistical Learning Theory, Margin‑based Classification, Feature‑space Transformations, Machine Learning Foundations, Pattern Recognition Theory, Cambridge Machine Learning Monographs from Robert McLean
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
by Nello Cristianini, John Shawe-Taylor
- Condition
- As New. Boards immaculate, corners sharp, spine perfect. Text bright, crisp, and unmarked. Binding tight and unread‑appearing.
- Published
- 2002
- ISBN
- 9780521780193
- Quantity available
- 1
- Seller
-
Surrey, British Columbia, CAN
- Item price
-
A$859.09
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Description:
An Introduction to Support Vector Machines and Other Kernel‑based Learning Methods
Cristianini, Nello & Shawe‑Taylor, John Cambridge University Press, 2002 Language: English First Edition Hardcover
Book Description
A foundational and widely cited introduction to support vector machines (SVMs) and the broader family of kernel‑based learning methods. Cristianini and Shawe‑Taylor present the geometric, statistical, and optimization‑theoretic foundations of SVMs, including margin maximization, kernel functions,… Read more about this item Item price
A$859.09
