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Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation.

, , , , and . Int. J. Appl. Math. Comput. Sci., 28 (4): 705-717 (2018)

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Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance., , and . CoRR, (2013)Sub-classifier construction for error correcting output code using minimum weight perfect matching., , , and . IJCNN, page 3519-3525. IEEE, (2014)Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation., , , , and . CoRR, (2017)Sub-Classifier Construction for Error Correcting Output Code Using Minimum Weight Perfect Matching., , , and . CoRR, (2013)Enhancement of multi-class support vector machine construction from binary learners using generalization performance., , and . Neurocomputing, (2015)Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation., , , , and . Int. J. Appl. Math. Comput. Sci., 28 (4): 705-717 (2018)Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy., , and . Knowl. Based Syst., (2018)Efficient All-and-One Support Vector Machines Based on One-versus-All Data Inseparability., and . IRI, page 233-239. IEEE, (2018)Information-based dichotomization: A method for multiclass Support Vector Machines., , and . IJCNN, page 3284-3291. IEEE, (2008)