%0 Book Section %1 Bousquet2004 %A Bousquet, Olivier %A Boucheron, Stéphane %A Lugosi, Gábor %B Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, Revised Lectures %C Berlin, Heidelberg %D 2004 %E Bousquet, Olivier %E von Luxburg, Ulrike %E Rätsch, Gunnar %I Springer Berlin Heidelberg %K bounds course generalization learning probability stats theory %P 169--207 %R 10.1007/978-3-540-28650-9_8 %T Introduction to Statistical Learning Theory %U https://doi.org/10.1007/978-3-540-28650-9_8 %X The goal of statistical learning theory is to study, in a statistical framework, the properties of learning algorithms. In particular, most results take the form of so-called error bounds. This tutorial introduces the techniques that are used to obtain such results. %@ 978-3-540-28650-9

@inbook{Bousquet2004, abstract = {The goal of statistical learning theory is to study, in a statistical framework, the properties of learning algorithms. In particular, most results take the form of so-called error bounds. This tutorial introduces the techniques that are used to obtain such results.}, added-at = {2019-05-19T23:31:07.000+0200}, address = {Berlin, Heidelberg}, author = {Bousquet, Olivier and Boucheron, St{\'e}phane and Lugosi, G{\'a}bor}, biburl = {https://www.bibsonomy.org/bibtex/22f6fa776f61979f251a888c06f7f34cc/kirk86}, booktitle = {Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, T{\"u}bingen, Germany, August 4 - 16, 2003, Revised Lectures}, description = {Introduction to Statistical Learning Theory | SpringerLink}, doi = {10.1007/978-3-540-28650-9_8}, editor = {Bousquet, Olivier and von Luxburg, Ulrike and R{\"a}tsch, Gunnar}, interhash = {07a787d43fba75912ba534487b7aa114}, intrahash = {2f6fa776f61979f251a888c06f7f34cc}, isbn = {978-3-540-28650-9}, keywords = {bounds course generalization learning probability stats theory}, pages = {169--207}, publisher = {Springer Berlin Heidelberg}, timestamp = {2019-05-19T23:31:07.000+0200}, title = {Introduction to Statistical Learning Theory}, url = {https://doi.org/10.1007/978-3-540-28650-9_8}, year = 2004 }