@inbook{a3d99e12328644fb9855a6fc2c588d30,
title = "A short introduction to learning with kernels",
abstract = "We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the ν-trick, various kernels and an overview over applications of kernel methods.",
author = "Bernhard Sch{\"o}lkopf and Smola, {Alexander J.}",
year = "2003",
doi = "10.1007/3-540-36434-x_2",
language = "English",
isbn = "9783540005292",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "41--64",
editor = "Shahar Mendelson and Smola, {Alexander J.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}