Efficient Two Stage Voting Architecture for Pairwise Multi-label Classification

  title={Efficient Two Stage Voting Architecture for Pairwise Multi-label Classification},
  author={Gjorgji Madjarov and Dejan Gjorgjevikj and Tomche Delev},
  booktitle={Australasian Conference on Artificial Intelligence},
A common approach for solving multi-label classification problems using problem-transformation methods and dichotomizing classifiers is the pair-wise decomposition strategy. One of the problems with this approach is the need for querying a quadratic number of binary classifiers for making a prediction that can be quite time consuming especially in classification problems with large number of labels. To tackle this problem we propose a two stage voting architecture (TSVA) for efficient pair-wise… CONTINUE READING

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