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- W2090420884 abstract "In the present work, a theoretical framework in order to define the general performance of stacked generalization learning algorithm is developed. Analytical relationships between the performance of the Stacked Generalization classifier relative to the individual classifiers are constructed by the proposed theorems and the practical techniques are developed in order to optimize the performance of stacked generalization algorithm based on these relationships." @default.
- W2090420884 created "2016-06-24" @default.
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- W2090420884 date "2009-04-01" @default.
- W2090420884 modified "2023-09-25" @default.
- W2090420884 title "A theoretical analysis of feature fusion in Stacked Generalization" @default.
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- W2090420884 doi "https://doi.org/10.1109/siu.2009.5136454" @default.
- W2090420884 hasPublicationYear "2009" @default.
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