Exploring Correlation between Labels to improve Multi-Label Classification

no code implementations • 25 Nov 2015 • Amit Garg, Jonathan Noyola, Romil Verma, Ashutosh Saxena, Aditya Jami

This paper attempts multi-label classification by extending the idea of independent binary classification models for each output label, and exploring how the inherent correlation between output labels can be used to improve predictions.

Binary Classification Classification +3