Original Contribution: Stacked generalization
Neural Networks
Advances in knowledge discovery and data mining
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Genetic Algorithms in Search, Optimization and Machine Learning
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Using Correspondence Analysis to Combine Classifiers
Machine Learning
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VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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The paper focuses on methods of optimizing a single classifier and combining multiple classifiers by genetic algorithms (GAs). The method uses both the strategies of stacking and GAs to enhance the predictive precision of classifiers. experimetnal results show that it performs well on the task of optimization. Comparing with the single algorithm, it enhances the precision. In task of combining optimization, it can obtain more understandable result than constituent learners.