| 一种基于叠加框架的元学习策略 |
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| 引用本文： | 韦艳艳,李陶深.一种基于叠加框架的元学习策略[J].通讯和计算机,2006,3(4):26-29. |
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| 作者姓名： | 韦艳艳 李陶深 |
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| 作者单位： | [1]广西大学计算机与电子信息学院,南宁530004 [2]广西民族学院计算机与信息科学学院,南宁530006 |
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| 基金项目： | 本文得到广西“新世纪十百千人才工程”专项（桂人字2001213）基金项目和广西自然科学基金项目（桂科字0229008）的资助. |
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| 摘 要： | 本文讨论了分类器组合的叠加法以及相应的叠加策略，提出了一种新的基于叠加法的元学习策略。该策略对基分类器的预测结果进行投票表决，将表决的结果作为1层训练数据。实验结果表明，该方法比简单平均化验概率法的分类效果要好。
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| 关 键 词： | 元学习 Stacking 分类器组合 分类 |
A Meta-learning Strategy Based on Stacking Framework |
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| Yanyan We, Taoshen Li.A Meta-learning Strategy Based on Stacking Framework[J].Journal of Communication and Computer,2006,3(4):26-29. |
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| Authors: | Yanyan We Taoshen Li |
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| Abstract: | This paper describes stacking method and relative strategies, and proposes a new meta-learning strategy based on stacking framework. It votes the predictive results of basic classifier, and then takes the voting results as training data of level-1. Experiment results show that this approach can obtain more definite information from classifier outputs and achieves better classification effect than the weighted approach based on averaging posterior probability. |
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| Keywords: | Meta-leaming Stacking Classifiers Combination Classification |
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