2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
NeurIPS 2017poster
We address the problem of multi-class classification in the case where the number of classes is very large. We propose a double sampling strategy on top of a multi-class to binary reduction strategy, which transforms the original multi-class problem into a binary classification problem over pairs of…