Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem.

The goal of the is to learn that predict the preferred ranking of class labels for a given unlabeled instance. Different well-known machine learning algorithms have been adapted to deal with the LR problem. In particular, fine-tuned instance-based algorithms (e.