Basis selection for wavelet regression

Kevin R. Wheeler; Atam Dhawan

Basis selection for wavelet regression

Kevin R. Wheeler, Atam Dhawan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998
Publisher	Neural information processing systems foundation
Pages	627-633
Number of pages	7
ISBN (Print)	0262112450, 9780262112451
State	Published - Jan 1 1999
Externally published	Yes
Event	12th Annual Conference on Neural Information Processing Systems, NIPS 1998 - Denver, CO, United States Duration: Nov 30 1998 → Dec 5 1998

Other

Other	12th Annual Conference on Neural Information Processing Systems, NIPS 1998
Country/Territory	United States
City	Denver, CO
Period	11/30/98 → 12/5/98

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

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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 Atam Dhawan",

year = "1999",

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language = "English (US)",

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booktitle = "Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998",

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note = "12th Annual Conference on Neural Information Processing Systems, NIPS 1998 ; Conference date: 30-11-1998 Through 05-12-1998",

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AU - Wheeler, Kevin R.

AU - Dhawan, Atam

PY - 1999/1/1

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N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84899032698&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899032698&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84899032698

SN - 0262112450

SN - 9780262112451

SP - 627

EP - 633

BT - Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998

PB - Neural information processing systems foundation

T2 - 12th Annual Conference on Neural Information Processing Systems, NIPS 1998

Y2 - 30 November 1998 through 5 December 1998

ER -

Basis selection for wavelet regression

Abstract

Other

All Science Journal Classification (ASJC) codes

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Cite this