Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification
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Juan Julián Merelo Guervós | Maribel García Arenas | Pedro Ángel Castillo Valdivieso | Víctor Manuel Rivas Santos | Gustavo Romero
[1] Stephen M. Smith. Statistical scrotal effect , 1994, Nature.
[2] J Savulescu,et al. Are research ethics committees behaving unethically? Some suggestions for improving performance and accountability , 1996, BMJ.
[3] Gary B. Lamont,et al. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art , 2000, Evolutionary Computation.
[4] Xin Yao,et al. Ensemble learning via negative correlation , 1999, Neural Networks.
[5] Juan Julián Merelo Guervós,et al. Evolving Multilayer Perceptrons , 2000, Neural Processing Letters.
[6] CremonesiPaolo. Parallel, distributed and network-based processing , 2006 .
[7] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[8] Hisao Ishibuchi,et al. Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers , 2003, GECCO.
[9] Anders Krogh,et al. Neural Network Ensembles, Cross Validation, and Active Learning , 1994, NIPS.
[10] Michelle D. Moore,et al. Parallel genetic algorithm for search and constrained multi-objective optimization , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..
[11] Juan Julián Merelo Guervós,et al. G-Prop: Global optimization of multilayer perceptrons using GAs , 2000, Neurocomputing.
[12] E. Nieschlag,et al. Antioxidant treatment of patients with asthenozoospermia or moderate oligoasthenozoospermia with high-dose vitamin C and vitamin E: a randomized, placebo-controlled, double-blind study. , 1999, Human reproduction.
[13] Jonathan A C Sterne,et al. Teaching hypothesis tests – time for significant change? , 2002, Statistics in medicine.
[14] E. Altman. The success of business failure prediction models: An international survey , 1984 .
[15] Bernhard Sendhoff,et al. Neural network regularization and ensembling using multi-objective evolutionary algorithms , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[16] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[17] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[18] Hussein A. Abbass,et al. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks , 2001, Australian Joint Conference on Artificial Intelligence.
[19] Amanda J. C. Sharkey,et al. On Combining Artificial Neural Nets , 1996, Connect. Sci..
[20] O. Mangasarian,et al. Pattern Recognition Via Linear Programming: Theory and Application to Medical Diagnosis , 1989 .
[21] Wei Tang,et al. Ensembling neural networks: Many could be better than all , 2002, Artif. Intell..
[22] Xin Yao,et al. Evolutionary ensembles with negative correlation learning , 2000, IEEE Trans. Evol. Comput..
[23] Hussein A. Abbass. Pareto Neuro-Ensembles , 2003, Australian Conference on Artificial Intelligence.
[24] Hussein A. Abbass,et al. Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms , 2003, Neural Computation.
[25] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[26] Johan Ölvander,et al. Robustness considerations in multi-objective optimal design , 2005 .
[27] Ignacio Rojas,et al. Statistical analysis of the parameters of a neuro-genetic algorithm , 2002, IEEE Trans. Neural Networks.
[28] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[29] Juan Julián Merelo Guervós,et al. G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm , 1999, GECCO.
[30] T C Chalmers,et al. The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials. , 1978, The New England journal of medicine.
[31] Thomas F. Coleman,et al. Large-Scale Numerical Optimization , 1990 .
[32] H. Abbass,et al. PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[33] L. Cooper,et al. When Networks Disagree: Ensemble Methods for Hybrid Neural Networks , 1992 .
[34] F. de Toro,et al. PSFGA: a parallel genetic algorithm for multiobjective optimization , 2002, Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing.
[35] Carlos A. Coello Coello,et al. Solving Multiobjective Optimization Problems Using an Artificial Immune System , 2005, Genetic Programming and Evolvable Machines.
[36] César Hervás-Martínez,et al. Cooperative coevolution of artificial neural network ensembles for pattern classification , 2005, IEEE Transactions on Evolutionary Computation.