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Gene Selection for Cancer Classification using Support Vector Machines

✍ Scribed by Isabelle Guyon; Jason Weston; Stephen Barnhill; Vladimir Vapnik


Book ID
110313613
Publisher
Springer
Year
2002
Tongue
English
Weight
708 KB
Volume
46
Category
Article
ISSN
0885-6125

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In recent years, support vector machines (SVMs) have demonstrated excellent performance in a variety of pattern recognition problems. In this paper, we apply SVMs for texture classiΓΏcation, using translation-invariant features generated from the discrete wavelet frame transform. To alleviate the pro