ID  - jf:PL-08-WS-Park
T1  - Multi-Label Classification with Label Constraints
A1  - Park, Sang-Hyeun
A1  - Fürnkranz, Johannes
ED  - Hüllermeier, Eyke
ED  - Fürnkranz, Johannes
TI  - Proceedings of the ECML PKDD 2008 Workshop on Preference Learning (PL-08, Antwerp, Belgium)
Y1  - 2008
SP  - 157
EP  - 171
UR  - http://www.mathematik.uni-marburg.de/~kebi/ws-ecml-08/12.pdf
N2  - We extend the multi-label classification setting with constraints
on labels. This leads to two new machine learning tasks: First,
the label constraints must be properly integrated into the classification
process to improve its performance and second, we can try to automatically
derive useful constraints from data. In this paper, we experiment
with two constraint-based correction approaches as post-processing step
within the ranking by pairwise comparison (RPC)-framework. In addition,
association rule learning is considered for the task of label constraints
learning. We report on the current status of our work, together
with evaluations on synthetic datasets and two real-world datasets.
ER  -