Decision trees for ordinal classification
Intelligent Data Analysis
From supervised ranking to evolving behaviours of a robotic team
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Comparison of classification accuracy using Cohen's Weighted Kappa
Expert Systems with Applications: An International Journal
On the random generation of monotone data sets
Information Processing Letters
Loss optimal monotone relabeling of noisy multi-criteria data sets
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this paper, we discuss how a proper definition of a ranking can be introduced in the framework of supervised learning. We elaborate on its practical representation, and show how we can deal in a sound way with reversed preferences by transforming them into uncertainties within the representation.