Two stage architecture for multi-label learning

@article{Madjarov2012TwoSA,
  title={Two stage architecture for multi-label learning},
  author={Gjorgji Madjarov and Dejan Gjorgjevikj and Saso Dzeroski},
  journal={Pattern Recognition},
  year={2012},
  volume={45},
  pages={1019-1034}
}
A common approach to solving multi-label learning problems is to use problem transformation methods and dichotomizing classifiers as in the pair-wise decomposition strategy. One of the problems with this strategy is the need for querying a quadratic number of binary classifiers for making a prediction that can be quite time consuming, especially in learning… CONTINUE READING