Online Active Learning of Reject Option Classifiers

  title={Online Active Learning of Reject Option Classifiers},
  author={Kulin Shah and Naresh Manwani},
Active learning is an important technique to reduce the number of labeled examples in supervised learning. Active learning for binary classification has been well addressed in machine learning. However, active learning of the reject option classifier remains unaddressed. In this paper, we propose novel algorithms for active learning of reject option classifiers. We develop an active learning algorithm using double ramp loss function. We provide mistake bounds for this algorithm. We also propose… Expand


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