A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems
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M.C.P. de Souto | A.M.P. Canuto | A.M. Santos | V.M.S. Bezerra | S. Mirelli | M. D. Souto | Anne M. P. Canuto | A. M. Santos | Valeria | M. S. Bezerra | Sussany Mirelli
[1] Amanda J. C. Sharkey,et al. Boosting Using Neural Networks , 1999 .
[2] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[3] Amanda J. C. Sharkey,et al. Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems , 1999 .
[4] Sargur N. Srihari,et al. On multiple classifier systems for pattern recognition , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[5] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[6] Amanda J. C. Sharkey,et al. Multi-Net Systems , 1999 .
[7] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[8] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1990, COLT '90.
[9] Marc Parizeau,et al. Flexible multi-classifier architecture for face recognition systems , 2003 .
[10] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[11] Anne M. P. Canuto,et al. Enhancing multi-neural systems through the use of hybrid structures , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[12] David Zhang,et al. Face recognition by combining several algorithms , 2002, Object recognition supported by user interaction for service robots.