Robust ordinal regression in preference learning and ranking
Abstract
Multiple Criteria Decision Aiding (MCDA) offers a diversity of approaches designed for providing the decision maker (DM) with a recommendation concerning a set of alternatives (items, actions) evaluated from multiple points of view, called criteria. This paper aims at drawing attention of the Machine Learning (ML) community upon recent advances in a representative MCDA methodology, called Robust Ordinal Regression (ROR). ROR learns by examples...
Paper Details
Title
Robust ordinal regression in preference learning and ranking
Published Date
Jul 27, 2013
Journal
Volume
93
Issue
2-3
Pages
381 - 422
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