@inproceedings{b8a356f3ffe545349dd40ac839b9ec8b,
title = "Basis selection for wavelet regression",
abstract = "A wavelet basis selection procedure is presented for wavelet regression. Both the basis and threshold are selected using cross-validation. The method includes the capability of incorporating prior knowledge on the smoothness (or shape of the basis functions) into the basis selection procedure. The results of the method are demonstrated using widely published sampled functions. The results of the method are contrasted with other basis function based methods.",
author = "Wheeler, {Kevin R.} and Dhawan, {Atam P.}",
year = "1999",
language = "English (US)",
isbn = "0262112450",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
pages = "627--633",
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",
}