A Simple Method of Solution For Multi-label Feature Selection
Published in IEEE International Conference on Electrical, Computer and Communication Technologies, 2019
The study proposes a two-step algorithm for multi-label classification (MLC). It first decomposes the output label space into lower dimensions, then applies feature selection in the reduced space. This approach efficiently handles high-dimensional datasets and reduces computational load.
Recommended citation: Valadi, Jayaraman K., Prasad T. Ovhal, and Kunal J. Rathore. "A simple method of solution for multi-label feature selection." 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2019. https://ieeexplore.ieee.org/document/8869493