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SVM Regression through Variational Methods and its Sequential Implementation

SVM Regression through Variational Methods and its Sequential Implementation
SVM Regression through Variational Methods and its Sequential Implementation
0925-2312
151-167
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Gao, J.B., Gunn, S.R. and Harris, C.J. (2003) SVM Regression through Variational Methods and its Sequential Implementation. Neurocomputing, 55 (1-2), 151-167.

Record type: Article

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More information

Published date: 2003
Organisations: Electronic & Software Systems, Southampton Wireless Group

Identifiers

Local EPrints ID: 257848
URI: https://eprints.soton.ac.uk/id/eprint/257848
ISSN: 0925-2312
PURE UUID: b84af240-7c6d-49c6-b031-1150fe7659c7

Catalogue record

Date deposited: 29 Nov 2003
Last modified: 16 Jul 2019 22:56

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Contributors

Author: J.B. Gao
Author: S.R. Gunn
Author: C.J. Harris

University divisions

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