Learning partial ordinal class memberships with kernel-based proportional odds models

DOI10.1016/j.csda.2010.12.007zbMath1243.62096OpenAlexW2017278683WikidataQ60256742 ScholiaQ60256742MaRDI QIDQ433255

Willem Waegeman, Jan Verwaeren, Bernard De Baets

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.12.007

zbMATH Keywords

kernel methodsmachine learningordinal regressionpartial class membership

Mathematics Subject Classification ID

Related Items (6)

Representations of votes facilitating monotonicity-based ranking rules: from votrix to votex ⋮ The scorix: a popular representation of votes revisited ⋮ Monotonicity-based consensus states for the monometric rationalisation of ranking rules and how they are affected by ties ⋮ Ordinal regression neural networks based on concentric hyperspheres ⋮ Monotonicity-based ranking on the basis of multiple partially specified reciprocal relations ⋮ Exploitation of Pairwise Class Distances for Ordinal Classification

Uses Software

• R
• repolr

Cites Work

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