@inproceedings{20eddafa86424c37aeb49537845a9d5b,
title = "The entire regularization path for the support vector machine",
abstract = "In this paper we argue that the choice of the SVM cost parameter can be critical. We then derive an algorithm that can fit the entire path of SVM solutions for every value of the cost parameter, with essentially the same computational cost as fitting one SVM model.",
author = "Trevor Hastie and Saharon Rosset and Robert Tibshirani and Ji Zhu",
year = "2005",
language = "אנגלית",
isbn = "0262195348",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
booktitle = "Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004",
address = "ארצות הברית",
note = "18th Annual Conference on Neural Information Processing Systems, NIPS 2004 ; Conference date: 13-12-2004 Through 16-12-2004",
}