Referenced Items are not available for this document.
We present a new training algorithm, which is capable of providing fast training for a new automatically biased SVM. We compare our algorithm to the well-known sequential minimal optimization (SMO) algorithm. We then show that this method allows for the application of acceleration methods which further increases the rates of convergence.
Published in:
Neural Networks, 2003. Proceedings of the International Joint Conference on
(Volume:3
)
Date of Conference: 20-24 July 2003
- Page(s):
- 2060 - 2065 vol.3
- ISSN :
- 1098-7576
- Print ISBN:
- 0-7803-7898-9
- INSPEC Accession Number:
- 7898711
- Digital Object Identifier :
- 10.1109/IJCNN.2003.1223725
- Product Type:
- Conference Publications
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