Cooperative multi-objective evolutionary support vector machines for multiclass problems
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Francisco Herrera | Carlos A. Coello Coello | Hugo Terashima-Marín | Alejandro Rosales-Pérez | Andrés Eduardo Gutiérrez-Rodríguez | Salvador García | C. Coello | S. García | F. Herrera | H. Terashima-Marín | Alejandro Rosales-Pérez | A. E. Gutiérrez-Rodríguez
[1] Francisco Herrera,et al. MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines , 2018, IEEE Computational Intelligence Magazine.
[2] Yi Lin. Multicategory Support Vector Machines, Theory, and Application to the Classification of . . . , 2003 .
[3] 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).
[4] Richard K. Belew,et al. New Methods for Competitive Coevolution , 1997, Evolutionary Computation.
[5] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[6] 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..
[7] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[8] Jason Weston,et al. Support vector machines for multi-class pattern recognition , 1999, ESANN.
[9] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[10] 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.
[11] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[12] Madson Luiz Dantas Dias,et al. Evolutionary support vector machines: A dual approach , 2016, CEC.
[13] Yves Lecourtier,et al. A multi-model selection framework for unknown and/or evolutive misclassification cost problems , 2010, Pattern Recognit..
[14] 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..
[15] Rudolf Paul Wiegand,et al. An analysis of cooperative coevolutionary algorithms , 2004 .
[16] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[17] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[18] Koby Crammer,et al. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines , 2002, J. Mach. Learn. Res..
[19] Nello Cristianini,et al. Large Margin DAGs for Multiclass Classification , 1999, NIPS.
[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] 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..
[23] Kenneth A. De Jong,et al. Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents , 2000, Evolutionary Computation.
[24] Jacques Wainer,et al. Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters , 2017, J. Mach. Learn. Res..
[25] Yann Guermeur,et al. MSVMpack: A Multi-Class Support Vector Machine Package , 2011, J. Mach. Learn. Res..
[26] S. García,et al. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons , 2008 .
[27] Gintautas Dzemyda,et al. Large-Scale Data Analysis Using Heuristic Methods , 2011, Informatica.
[28] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[29] Emmanuel Monfrini,et al. A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies , 2011, Informatica.