Elisa Boari de Lima

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Parameter setting of Evolutionary Algorithms is a time consuming task with two main approaches: parameter tuning and parameter control. In this work we describe a new methodology for tuning parameters of Genetic Programming algorithms using factorial designs, one-factor designs and multiple linear regression. Our experiments show that factorial designs can(More)
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings, since important information is likely to be discarded. In this paper we propose constrained clustering as a strategy for integrating data sources without losing any information.(More)
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