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- W2787556547 abstract "Logical Analysis of Data (LAD) is a two-class learning method which integrates principles of combinatorics, optimization, and the theory of Boolean functions. This paper proposes an algorithm based on mixed integer linear programming to extend the LAD methodology to solve multi-class classification problems, where One-vs-Rest (OvR) learning models are efficiently constructed to classify observations in predefined classes. The utility of the proposed approach is demonstrated through experiments on multi-class benchmark datasets." @default.
- W2787556547 created "2018-02-23" @default.
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- W2787556547 date "2016-01-01" @default.
- W2787556547 modified "2023-09-23" @default.
- W2787556547 title "Logical Analysis of Multiclass Data." @default.
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