Multi-Instance Multi-Label Support Vector Machine Algorithm Based on Labeled Dependency Relation Ensemble Classifier Chain
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    Abstract:

    ECC-MIMLSVM+ is an algorithm of multi-instance and multi-label learning framework. This algorithm proposes a method based on classifier chain, but it does not consider the dependencies between labels. When the number of tags increases, the length of the sub classifier chain also increases, making the error propagation problem prominent. Therefore, this paper presents a kind of improved algorithm, combining ECC-MIMLSVM+ algorithm and the label dependencies. ELDCT-MIMLSVM+ algorithm is designed, which is based on ensembles of label dependencies classifier chain to avoid the information loss and improve the classification accuracy. The experiment results show that the algorithm has good effect.

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李村合,王文杰.基于标记依赖关系集成分类器链的多示例多标签支持向量机算法.计算机系统应用,2017,26(4):179-185

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History
  • Received:July 24,2016
  • Revised:August 22,2016
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  • Online: April 11,2017
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