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- W2357551567 abstract "In this paper,we proposed applying Hadamard Error-Correcting Output Code to extend binary classifier to multi-class problems.Compared with other ECOC approaches,Hadamard ECOC is easy to construct and suitable to any number of classes.We combine it with binary support vector machine(SVM) to solve the multi-class problem of speaker identification.Compared with the traditional 1-against-rest method,the experiment result shows that Hadamard ECOC has much better and more stable performance to any number of classes for the multi-class problem and is robust with respect to the assignment of distributed representations to particular classes." @default.
- W2357551567 created "2016-06-24" @default.
- W2357551567 creator A5090599256 @default.
- W2357551567 date "2008-01-01" @default.
- W2357551567 modified "2023-09-26" @default.
- W2357551567 title "Application of Hadamard ECOC in Multi-Class Problems Based on SVM" @default.
- W2357551567 hasPublicationYear "2008" @default.
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