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[ACM Press Twenty-first international conference - Banff, Alberta, Canada (2004.07.04-2004.07.08)] Twenty-first international conference on Machine learning - ICML '04 - Multiple kernel learning, conic duality, and the SMO algorithm

โœ Scribed by Bach, Francis R.; Lanckriet, Gert R. G.; Jordan, Michael I.


Book ID
121651783
Publisher
ACM Press
Year
2004
Weight
191 KB
Category
Article

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[ACM Press Twenty-first international co
โœ Bach, Francis R.; Lanckriet, Gert R. G.; Jordan, Michael I. ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› ACM Press โš– 191 KB

While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. considered conic combinations of kernel matrices for the support vector machine (SVM), and showed that the optimization of the coefficient