Adaptive Metric Learning Vector Quantization for Ordinal Classification

DOI10.1162/NECO_a_00358zbMath1268.68137OpenAlexW2035820761WikidataQ44625879 ScholiaQ44625879MaRDI QIDQ2840870

S. Fouad, Peter Tiňo

Publication date: 23 July 2013

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00358

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Exploitation of Pairwise Class Distances for Ordinal Classification ⋮ The Benefits of Modeling Slack Variables in SVMs ⋮ Ordinal regression based on learning vector quantization

Cites Work

• Support Vector Ordinal Regression
• Reduction from Cost-Sensitive Ordinal Ranking to Weighted Binary Classification
• Adaptive Relevance Matrices in Learning Vector Quantization

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