Abstract
Decomposition methods is the main way for solving support vector machines (SVMs) with large data sets. In this paper a new decomposition algorithm is proposed, and its convergence is also proved.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wang, YG., Qiao, H., Zhang, B. (2006). Convergence of a New Decomposition Algorithm for Support Vector Machines. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_39
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DOI: https://doi.org/10.1007/978-3-540-37275-2_39
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37274-5
Online ISBN: 978-3-540-37275-2
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