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) |
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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 |
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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