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.