An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
DOI:
https://doi.org/10.1609/aimag.v22i2.1566Abstract
This book is an introduction to support vector machines and related kernel methods in supervised learning, whose task is to estimate an input-output functional relationship from a training set of examples. A learning problem is referred to as classification if its output take discrete values in a set of possible categories and regression if it has continuous real-valued output.
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Published
2001-06-15
How to Cite
Zhang, T. (2001). An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. AI Magazine, 22(2), 103. https://doi.org/10.1609/aimag.v22i2.1566
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Book Reviews
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