Generalized k-labelset ensemble for multi-label classification

Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Label powerset (LP) method is one category of multi-label learning algorithms. It reduces the multi-label classification problem to a multi-class classification problem by treating each distinct combination of labels in the training set as a different class. This paper proposes a basis expansion model for multi-label classification, where a basis function is a LP classifier trained on a random k-labelset. The expansion coefficients are learned to minimize the global error between the prediction
more » ... ween the prediction and the multi-label ground truth. We derive an analytic solution to learn the coefficients efficiently. We have conducted experiments using several benchmark datasets and compared our method with other state-of-the-art multi-label learning methods. The results show that our method has better or competitive performance against other methods. Index Terms-Multi-label classification, ensemble method, labelset.
doi:10.1109/icassp.2012.6288315 dblp:conf/icassp/LoLW12 fatcat:2aam5a724bfcbgq2a6ztttgf74