Supervised ranking in the weka environment

Authors:
Stijn Lievens;Bernard De Baets
Affiliations:
Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 S9, B-9000 Gent, Belgium;Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, B-9000 Gent, Belgium
Venue:
Information Sciences: an International Journal
Year:
2010

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Abstract

Software for solving the supervised ranking problem is presented. Four variants of the Ordinal Stochastic Dominance Learner (OSDL) are given, together with the space and time complexity of their implementations. It is shown that the described software, which includes two further algorithms for supervised ranking, fits seamlessly into the weka environment.