Carrizosa, Emilio; Martin-Barragan, Belen - In: Mathematical Methods of Operations Research 74 (2011) 3, pp. 381-407
In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of ranked classes. Classifying an individual in a class with higher (respectively lower) rank than its actual rank is called an upgrading (respectively downgrading) error. Since...
