Asymptotic convergence of an SMO algorithm without any assumptions
Journal
IEEE Transactions on Neural Networks
Journal Volume
13
Journal Issue
1
Pages
248-250
Date Issued
2002
Author(s)
Abstract
The asymptotic convergence of C.-J. Lin (2001) can be applied to a modified SMO (sequential minimal optimization) algorithm by S.S. Keerthi et al. (2001) with some assumptions. The author shows that for this algorithm those assumptions are not necessary.
Type
other