Toward a theory of generalization and learning in XCS von Butz, M.V., Kovacs, T., Lanzi, P.L., Wilson, S.W.

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Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction von Butz, M.V., Lanzi, P.L., Wilson, S.W.

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Facetwise Analysis of XCS for Problems With Class Imbalances von Orriols-Puig, A., Bernado-Mansilla, E., Goldberg, D.E., Sastry, K., Lanzi, P.L.

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Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems von Butz, M.V., Goldberg, D.E., Lanzi, P.L.

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Learning Classifier Systems: International Workshops, IWLCS 2003-2005 : Revised Selected Papers von Carbonell, Jaime G, Siekmann, Jörg, Kovacs, Tim, Lanzi, P.L, Stolzmann, Wolfgang, Wilson, Stewart W

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On-line neuroevolution applied to The Open Racing Car Simulator von Cardamone, L., Loiacono, D., Lanzi, P.L.

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An analysis of generalization in XCS with symbolic conditions von Lanzi, P.L.

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Constraint based mining of first order sequences in SeqLog von Lee, S.D, De Raedt, Luc

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Towards query evaluation in inductive databases using version spaces von De Raedt, Luc

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Computed prediction in binary multistep problems von Loiacono, D., Lanzi, P.L.

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Evolving classifier ensembles with voting predictors von Lanzi, P.L., Loiacono, D., Zanini, M.

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Support vector machines for computing action mappings in learning classifier systems von Loiacono, D., Marelli, A., Lanzi, P.L.

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Anticipation mappings for learning classifier systems von Bull, L., O'Hara, T., Lanzi, P.L.

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XCS with computed prediction for the learning of Boolean functions von Lanzi, P.L., Loiacono, D., Wilson, S.W., Goldberg, D.E.

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High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis von Pilato, C., Loiacono, D., Ferrandi, F., Lanzi, P.L., Sciuto, D.

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Fitness inheritance in evolutionary and multi-objective high-level synthesis von Pilato, C., Palermo, G., Tumeo, A., Ferrandi, F., Sciuto, D., Lanzi, P.L.

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A Simple Real-Coded Extended Compact Genetic Algorithm von Fossati, L., Lanzi, P.L., Sastry, K., Goldberg, D.E.L., Gomez, O.

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XCS with computed prediction in continuous multistep environments von Lanzi, P.L., Loiacono, D., Wilson, S.W., Goldberg, D.E.

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Learning drivers for TORCS through imitation using supervised methods von Cardamone, L., Loiacono, D., Lanzi, P.L.

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Toward an FPGA implementation of XCS von Bolchini, C., Ferrandi, P., Lanzi, P.L., Salice, F.

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