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