Support Vector Machines and Flexible Discriminants

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome

doi:10.1007/978-0-387-84858-7_12

Trevor Hastie²,
Robert Tibshirani² &
Jerome Friedman²

Part of the book series: Springer Series in Statistics ((SSS))

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Dept. of Statistics, Stanford University, Stanford, CA, 94305, USA
Trevor Hastie, Robert Tibshirani & Jerome Friedman

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Trevor Hastie
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Robert Tibshirani
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Jerome Friedman
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Correspondence to Trevor Hastie .

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Hastie, T., Tibshirani, R., Friedman, J. (2009). Support Vector Machines and Flexible Discriminants. In: The Elements of Statistical Learning. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-84858-7_12

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DOI: https://doi.org/10.1007/978-0-387-84858-7_12
Published: 24 December 2008
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-84857-0
Online ISBN: 978-0-387-84858-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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