Conditional ordinal random fields for structured ordinal-valued label prediction

DOI10.1007/S10618-013-0305-2zbMath1281.68185OpenAlexW2061873388WikidataQ114690141 ScholiaQ114690141MaRDI QIDQ2435717

Min-Young Kim

Publication date: 19 February 2014

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-013-0305-2

zbMATH Keywords

probabilistic modelsordinal regressionconditional random fieldsstructured label prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (1)

Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Cites Work

• Unnamed Item
• Generalized isotonic conditional random fields
• 10.1162/15324430260185628
• Graphical models

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