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- W2107051091 abstract "We propose a new algorithm for Support Vector Machine classification based on a geometric interpretation of the problem as finding the minimum distance between the polytopes defined by the points of the two classes. This geometric formulation applies to the hard margin, and the soft margin classification problem with quadratic violations. Our approach is based on Wolfe's classical proximity algorithm and our results show that the computational and storage requirements per iteration are relatively modest." @default.
- W2107051091 created "2016-06-24" @default.
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- W2107051091 date "2006-10-04" @default.
- W2107051091 modified "2023-09-28" @default.
- W2107051091 title "A Proximity Algorithm for Support Vector Machine Classification" @default.
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- W2107051091 doi "https://doi.org/10.1109/cdc.2005.1582527" @default.
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