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Approximate Multiobjective Multiclass SVM by Using the Reference Point Method., , , , и . SMC, стр. 3535-3540. IEEE, (2018)Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm., и . EUSFLAT Conf., том 1 из Atlantis Studies in Uncertainty Modelling, Atlantis Press, (2019)Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach., , , и . RSKT, том 8171 из Lecture Notes in Computer Science, стр. 133-144. Springer, (2013)Specific-to-general approach for rule induction using discernibility based dissimilarity., и . GrC, стр. 178-181. IEEE Computer Society, (2013)Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function., , , и . IUKM, том 11471 из Lecture Notes in Computer Science, стр. 135-145. Springer, (2019)Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering., , и . IUKM, том 11471 из Lecture Notes in Computer Science, стр. 271-283. Springer, (2019)Rule Induction Via Clustering Decision Classes., и . RSCTC, том 4259 из Lecture Notes in Computer Science, стр. 928-938. Springer, (2006)Learning prototype-based classifiers by margin maximization., , и . IFSA-SCIS, стр. 1-6. IEEE, (2017)Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation.. IUKM (2), том 14376 из Lecture Notes in Computer Science, стр. 37-46. Springer, (2023)Rule Induction from Information Tables with Ordinal Decision Attributes., , , и . GrC, стр. 271-276. IEEE Computer Society, (2010)