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Learning with Kernels: support vector machines, regularization, optimization, and beyond

B. Scholkopf,Alex Smola

2001 · DOI: 10.7551/mitpress/4175.001.0001
5,356 Citations

TLDR

Learning with Kernels provides an introduction to SVMs and related kernel methods that provide all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms.