An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by John Shawe-Taylor, Nello Cristianini

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods






An Introduction to Support Vector Machines and Other Kernel-based Learning Methods John Shawe-Taylor, Nello Cristianini ebook
ISBN: 0521780195, 9780521780193
Page: 189
Publisher: Cambridge University Press
Format: chm


Nello Cristianini, John Shawer-Taylor [2] 数据挖掘中的新方法-支持向量机 邓乃扬, 田英杰 [3] 机器学习. Cristianini, N., & Shawe-Taylor, J. Collective Intelligence" first, then "Collective Intelligence in Action". Christianini & Shawe-Taylor (2000). An Introduction to Support Vector Machines and other kernel-based learning methods . Kernel Methods for Pattern Analysis . More formally, a support vector machine constructs a hyperplane or set of hyperplanes in a high- or infinite-dimensional space, which can be used for classification, regression, or other tasks. [1] An Introduction to Support Vector Machines and other kernel-based learning methods. Princeton, NJ: Princeton University Press. Shawe-Taylor & Christianini (2004). Their reproducibility was evaluated by an internal cross-validation method. Mathematical methods in statistics. Introduction to support vector machines and other kernel-based learning methods. Cristianini, J.S.Taylor (2000), An Introduction to Support Vector Machine and Other Kernel-Based Learning Methods, Cambridge Press University. The first one shows how easy it is to implement basic algorithms, the second one would show you how to use existing open source projects related to machine learning.

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