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Multi-Learner Based Recursive Supervised Training.

, , and . International Journal of Computational Intelligence and Applications, 6 (3): 429-449 (2006)

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Clustering and combinatorial optimization in recursive supervised learning., and . J. Comb. Optim., 13 (2): 137-152 (2007)Recursive hybrid decomposition with reduced pattern training., , , and . Int. J. Hybrid Intell. Syst., 6 (3): 135-146 (2009)Guest editorial: Special issue on brain inspired models of cognitive memory., , and . Neurocomputing, (2014)Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity., , , , , and . Int. J. Neural Syst., (2013)Multiorder Neurons for Evolutionary Higher-Order Clustering and Growth., and . Neural Comput., 19 (12): 3369-3391 (2007)Memory Dynamics in Attractor Networks., , , , and . Comput. Intell. Neurosci., (2015)Evolutionary combinatorial optimization for recursive supervised learning with clustering., and . IEEE Congress on Evolutionary Computation, page 1168-1174. IEEE, (2007)Multi-Learner Based Recursive Supervised Training., , and . International Journal of Computational Intelligence and Applications, 6 (3): 429-449 (2006)A Hubel Wiesel model of early concept generalization based on local correlation of input features., and . IJCNN, page 709-716. IEEE, (2011)Stimulus dependent habituation in a bottom - up brain inspired model of learning and memory., , and . IJCNN, page 1-7. IEEE, (2012)