Adapting Kernels by Variational Approach in SVM
Adapting Kernels by Variational Approach in SVM
395-406
Gao, J.B.
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Gunn, S.R.
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Kandola, J.S.
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McKay, B.
da0dd2a7-4d9b-403d-bcc7-7bb301ab37e9
Slaney, J.
0917024e-b13b-47f6-993a-296eec044e5a
2002
Gao, J.B.
5adc3f26-6fe2-4b31-9d1a-d1c64b7eefe0
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Kandola, J.S.
c976459a-d502-4688-b741-334c06796ca8
McKay, B.
da0dd2a7-4d9b-403d-bcc7-7bb301ab37e9
Slaney, J.
0917024e-b13b-47f6-993a-296eec044e5a
Gao, J.B., Gunn, S.R. and Kandola, J.S.
(2002)
Adapting Kernels by Variational Approach in SVM.
McKay, B. and Slaney, J.
(eds.)
15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia.
.
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Conference or Workshop Item
(Paper)
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Published date: 2002
Venue - Dates:
15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2002-01-01
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 257843
URI: http://eprints.soton.ac.uk/id/eprint/257843
PURE UUID: 188c2b9b-f3fe-467b-9106-50e4baceccaa
Catalogue record
Date deposited: 29 Nov 2003
Last modified: 08 Jan 2022 14:44
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Contributors
Author:
J.B. Gao
Author:
S.R. Gunn
Author:
J.S. Kandola
Editor:
B. McKay
Editor:
J. Slaney
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