"Bradley-Terry model"

Combining binary machines for multi-class: Statistical model and parameter estimation

Combining binary machines for multi-class classification problems is a popular idea, and many related methods have been proposed. When each binary machine reports a hard decision (a binary classifier), one of the most popular methods is to use the …

Learning binary classifiers for multi-class problem

One important idea for the multi-class classification problem is to combine binary classifiers (base classifiers), which is summarized as error correcting output codes (ECOC), and the generalized Bradley-Terry (GBT) model gives a method to estimate …