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  • Werner Römisch; Thomas Zeugmann
    978-3-319-42755-3
    2016
    Edition 1
    • Many interdisciplinary applications, including support vector machines, kernel-based learning methods, pattern recognition, statistical learning theory, computer graphics, and approximation theory
    • Rich field experienced enormous development in recent decades, comprising numerical analysis and computational discrete mathematics
    • Book content tested in lectures, seminars, and discussions at Humboldt University and other institutions over decades
    • Includes supplementary material: sn.pub/extras
    €419 €377
    10% OFF

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