Fuzzy one-class support vector machines

  title={Fuzzy one-class support vector machines},
  author={Pei-Yi Hao},
  journal={Fuzzy Sets and Systems},
In one-class classification, the problem is to distinguish one class of data from the rest of the feature space. It is important in many applications where one of the classes is characterized well, while no measurements are available for the other class. Schölkopf et al. first introduced a method of adapting the support vector machine (SVM) methodology to the one-class classification problem, called one-class SVM. In this paper, we incorporate the concept of fuzzy set theory into the one-class… CONTINUE READING
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On diversity measures for fuzzy one-class classifier ensembles

2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL) • 2013
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