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Advances in Kernel Methods: Support Vector Learning (книга)

Advances in Kernel Methods: Support Vector Learning
Автор: Bernhard Schlkopf
Christopher J. C. Burges
Alexander J. Smola
Оригинал издан: ????

«Advances in Kernel Methods: Support Vector Learning»книга ???? года.

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«The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a…»

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