Frequently, ordinal measurement scales are constructed either by coarse measurement of interval or ratio scales, or by assigning numeric scores to ordinal categories. When data on such scales are ...

We develop a Bayesian nonparametric framework for modeling ordinal regression relationships, which evolve in discrete time. The motivating application involves a key problem in fisheries research on ...

It is possible to use decision regression with mixed categorical and numeric data, by using ordinal encoding on the categorical data. However, this is a subtle topic that I'll explain at the end of ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...