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Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model
245-256
Wang, X.X.
38cba1ba-039f-427c-ac6f-459768df3834
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Lowe, D.
3839d69d-7c99-4f4a-a37e-0a5731ff373b
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Wang, X.X.
38cba1ba-039f-427c-ac6f-459768df3834
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Lowe, D.
3839d69d-7c99-4f4a-a37e-0a5731ff373b
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Wang, X.X., Chen, Sheng, Lowe, D. and Harris, C.J. (2006) Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. International Journal of Modelling, Identification and Control, 1 (4), 245-256.

Record type: Article
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Published date: December 2006
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263331
URI: http://eprints.soton.ac.uk/id/eprint/263331
PURE UUID: 02734b4a-6dcd-4919-a30d-560b237a833d

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Date deposited: 22 Jan 2007
Last modified: 14 Jan 2022 17:42

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Contributors

Author: X.X. Wang
Author: Sheng Chen
Author: D. Lowe
Author: C.J. Harris

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