• Corpus ID: 14017310

An improved multi-label classification method based on svm with delicate decision boundary

@article{Chen2010AnIM,
  title={An improved multi-label classification method based on svm with delicate decision boundary},
  author={Benhui Chen and Liangpeng Ma and Takayuki Furuzuki},
  journal={International Journal of Innovative Computing Information and Control},
  year={2010},
  volume={6},
  pages={1605-1614}
}
Multi-label classification problem is an extension of traditional multi-class classification problem in which the classes are not mutually exclusive and each sample may belong to several classes simultaneously. Such problems occur in many important applications. Some researches indicate that the performance of classifier can be improved by introducing the information of multi-label training samples into learning procedure effectively. In this paper, we propose a novel method based on SVM with… 
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