@inproceedings{4302ca187e854dc3b804255b4458f59c,
title = "Shrinking the tube: A new support vector regression algorithm",
abstract = "A new algorithm for Support Vector regression is described. For a priori chosen v, it automatically adjusts a flexible tube of minimal radius to the data such that at most a fraction v of the data points lie outside. Moreover, it is shown how to use parametric tube shapes with non-constant radius. The algorithm is analysed theoretically and experimentally.",
author = "Bernhard Sch{\"o}lkopf and Peter Bartlett and Alex SmoIa and Robert Williamson",
year = "1999",
language = "English",
isbn = "0262112450",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural Information Processing Systems Foundation",
pages = "330--336",
booktitle = "Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998",
note = "12th Annual Conference on Neural Information Processing Systems, NIPS 1998 ; Conference date: 30-11-1998 Through 05-12-1998",
}