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Found 1 from your keywords: author=Sch{uml}olkopf, Bernhar...
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Learning with Kernels: Support Vector Machines, Regularization, Optimization,…
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Sch{uml}olkopf, Bernhard.

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…

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