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K-SVCR. A support vector machine for multi-class classification.

, , и . Neurocomputing, 55 (1-2): 57-77 (2003)

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Angel Angulo

Cecilio Lopez

Jesús Angulo

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Jaime Ramirez-Angulo

 

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Classification of Abnormal Situations in a Waste Water Treatment Plant., , , и . CCIA, том 2504 из Lecture Notes in Computer Science, стр. 249-256. Springer, (2002)Discretization of Continuous Features by Using a Kernel., , , , и . I-ESA, стр. 129-136. Springer, (2006)Multi-Classification by Using Tri-Class SVM., , , и . Neural Processing Letters, 23 (1): 89-101 (2006)Internal Representation of the Environment in Cognitive Robotics., , и . Int. J. Robotics Autom., (2009)Multi-classification with Tri-class Support Vector Machines. A Review., , , и . IWANN, том 4507 из Lecture Notes in Computer Science, стр. 276-283. Springer, (2007)Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement., , , , , и . Expert Syst. Appl., 39 (1): 1011-1020 (2012)$K$-SVCR. A Multi-class Support Vector Machine, и . Proceedings of the 11th European Conference on Machine Learning (ECML-2000), стр. 31--38. Springer-Verlag, (2000)Sobre núcleos, distancias y similitudes entre intervalos., , , , и . Inteligencia Artif., 8 (23): 111-117 (2004)Unified dual for bi-class SVM approaches., , , и . Pattern Recognit., 38 (10): 1772-1774 (2005)A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019., , и . Neural Comput. Appl., 34 (1): 1-3 (2022)