Optimization techniques for the selection of members and attributes in ensemble systems
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Anne M. P. Canuto | Marco César Goldbarg | Elizabeth Ferreira Gouvea Goldbarg | Antonino Feitosa Neto
[1] William B. Yates,et al. Use of methodological diversity to improve neural network generalisation , 2005, Neural Computing & Applications.
[2] Lakhmi C. Jain,et al. Designing classifier fusion systems by genetic algorithms , 2000, IEEE Trans. Evol. Comput..
[3] Paul Scheunders,et al. Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data Kenmerk Selectie en Classificatie Ensembles: Een Studie op Hyperspectrale Afstandswaarnemingsdata , 2003 .
[4] Derek Partridge,et al. Hybrid ensembles and coincident-failure diversity , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[5] Anne M. P. Canuto,et al. A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers , 2010, IEEE Congress on Evolutionary Computation.
[6] Francisco Herrera,et al. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection , 2009, HAIS.
[7] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[8] Xin Yao,et al. A constructive algorithm for training cooperative neural network ensembles , 2003, IEEE Trans. Neural Networks.
[9] Ludmila I. Kuncheva,et al. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy , 2003, Machine Learning.
[10] Subhash C. Bagui,et al. Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.
[11] Michael C. Lee,et al. A Two-Step Approach for Feature Selection and Classifier Ensemble Construction in Computer-Aided Diagnosis , 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.
[12] Gavin Brown,et al. "Good" and "Bad" Diversity in Majority Vote Ensembles , 2010, MCS.
[13] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[14] Luiz Eduardo Soares de Oliveira,et al. Feature selection for ensembles applied to handwriting recognition , 2006, International Journal of Document Analysis and Recognition (IJDAR).
[15] Alice E. Smith,et al. Multi-objective tabu search using a multinomial probability mass function , 2006, Eur. J. Oper. Res..
[16] Kevin W. Bowyer,et al. Combination of multiple classifiers using local accuracy estimates , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[17] Weicai Zhong,et al. A multiagent genetic algorithm for global numerical optimization , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[18] Mykola Pechenizkiy,et al. Diversity in search strategies for ensemble feature selection , 2005, Inf. Fusion.
[19] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[20] Bogdan Gabrys,et al. Classifier selection for majority voting , 2005, Inf. Fusion.
[21] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[22] David W. Opitz,et al. Feature Selection for Ensembles , 1999, AAAI/IAAI.
[23] W. J. Conover,et al. Practical Nonparametric Statistics , 1972 .
[24] Terry Windeatt,et al. Diversity measures for multiple classifier system analysis and design , 2004, Inf. Fusion.
[25] Alexey Tsymbal,et al. Ensemble feature selection with the simple Bayesian classification , 2003, Inf. Fusion.
[26] Antanas Verikas,et al. A feature selection technique for generation of classification committees and its application to categorization of laryngeal images , 2009, Pattern Recognit..
[27] André M. C. Campos,et al. GNeurAge: An Evolutionary Agent-Based System for Classification Tasks , 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).
[28] Nitesh V. Chawla,et al. Evolutionary Ensemble Creation and Thinning , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[29] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[30] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[31] Robert Sabourin,et al. Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[32] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[33] Anne M. P. Canuto,et al. Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles , 2009, 2009 International Joint Conference on Neural Networks.
[34] Yoshiyasu Takefuji,et al. Adaptation of neural agent in dynamic environment: hybrid system of genetic algorithm and neural network , 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).