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View all- Heider MPätzel DWagner AWagner M(2022)An overview of LCS research from 2021 to 2022Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3533985(2086-2094)Online publication date: 9-Jul-2022
This paper proposes LCSE, a learning classifier system ensemble, which is an extension of the classical learning classifier system(LCS). The classical LCS includes two major modules, a genetic algorithm module used to facilitate rule discovery, and a ...
The class imbalance problem has been recognized as a crucial problem in machine learning and data mining. Learning systems tend to be biased towards the majority class and thus have poor generalization for the minority class instances. This paper ...
In this paper, we present a weight learning method introduced to learn weights on each individual classifier to construct an ensemble. Genetic algorithm is applied to search for an optimal combination of weights for each individual classifier on which ...
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