MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines
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Francisco Herrera | Carlos A. Coello Coello | Hugo Terashima-Marín | Alejandro Rosales-Pérez | Salvador García | C. Coello | S. García | F. Herrera | H. Terashima-Marín | Alejandro Rosales-Pérez
[1] Isabelle Guyon,et al. Comparison of classifier methods: a case study in handwritten digit recognition , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).
[2] Steve R. Gunn,et al. Design and Analysis of the NIPS2003 Challenge , 2006, Feature Extraction.
[3] Koby Crammer,et al. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines , 2002, J. Mach. Learn. Res..
[4] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[5] Richard K. Belew,et al. New Methods for Competitive Coevolution , 1997, Evolutionary Computation.
[6] Francisco Herrera,et al. Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis , 2016, Appl. Soft Comput..
[7] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[8] Jesús Alcalá-Fdez,et al. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..
[9] Francisco Herrera,et al. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..
[10] Jacques Wainer,et al. Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters , 2017, J. Mach. Learn. Res..
[11] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[12] Patrick J. F. Groenen,et al. GenSVM: A Generalized Multiclass Support Vector Machine , 2016, J. Mach. Learn. Res..
[13] María José del Jesús,et al. KEEL: a software tool to assess evolutionary algorithms for data mining problems , 2008, Soft Comput..
[14] Ujjwal Maulik,et al. A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I , 2014, IEEE Transactions on Evolutionary Computation.
[15] Kenneth A. De Jong,et al. Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents , 2000, Evolutionary Computation.
[16] Yann Guermeur,et al. MSVMpack: A Multi-Class Support Vector Machine Package , 2011, J. Mach. Learn. Res..
[17] Emmanuel Monfrini,et al. A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies , 2011, Informatica.
[18] Francisco Herrera Triguero,et al. An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons , 2008 .
[19] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[20] Ingo Mierswa,et al. Evolutionary learning with kernels: a generic solution for large margin problems , 2006, GECCO '06.
[21] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[22] G. Wahba,et al. Multicategory Support Vector Machines , Theory , and Application to the Classification of Microarray Data and Satellite Radiance Data , 2004 .
[23] Francisco Herrera,et al. An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles , 2017, IEEE Transactions on Evolutionary Computation.
[24] Gavin C. Cawley,et al. On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms , 2017, ArXiv.
[25] Francesca Mangili,et al. Should We Really Use Post-Hoc Tests Based on Mean-Ranks? , 2015, J. Mach. Learn. Res..
[26] Madson Luiz Dantas Dias,et al. Evolutionary support vector machines: A dual approach , 2016, CEC.
[27] Rudolf Paul Wiegand,et al. An analysis of cooperative coevolutionary algorithms , 2004 .
[28] Fabio Roli,et al. Super-Sparse Learning in Similarity Spaces , 2016, IEEE Computational Intelligence Magazine.
[29] Nello Cristianini,et al. Large Margin DAGs for Multiclass Classification , 1999, NIPS.
[30] Ryan M. Rifkin,et al. In Defense of One-Vs-All Classification , 2004, J. Mach. Learn. Res..
[31] Bernhard Sendhoff,et al. Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[32] Ujjwal Maulik,et al. Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II , 2014, IEEE Transactions on Evolutionary Computation.
[33] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[34] Jason Weston,et al. Multi-Class Support Vector Machines , 1998 .
[35] Francisco Herrera,et al. An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes , 2011, Pattern Recognit..