Regular Section
Multi-Label Learning Using Mathematical Programming
2015 Volume E98.D Issue 1 Pages 197-200
Details
2015 Volume E98.D Issue 1 Pages 197-200
We propose a new multi-label feature selection method that does not require the multi-label problem to be transformed into a single-label problem. Using quadratic programming, the proposed multi-label feature selection algorithm provides markedly better learning performance than conventional methods.
