stacked generalization什么意思

Stacked generalization = 层叠泛化算法

是属于神经网络 (Neural Network) 领域的。

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Stacked generalization is a general method of using a high-level model to combine lowerlevel models to achieve greater predictive accuracy. In this paper we address two crucial issues which have been considered to be a `black art ' in classification tasks ever since the introduction of stacked generalization in 1992 by Wolpert: the type of generalizer that is suitable to derive the higher-level model, and the kind of attributes that should be used as its input. We demonstrate the effectiveness of stacked generalization for combining three different types of learning algorithms.

参考：http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1891

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Stacked gene