Semi-supervised Learning to Rank with Nonlinear Preference Model

DOI10.1007/978-3-030-38893-5_5zbMath1484.68191OpenAlexW3009827343MaRDI QIDQ5015713

A. Galuza, G. Grinberg, L. M. Lyubchyk

Publication date: 9 December 2021

Published in: Recent Developments in Fuzzy Logic and Fuzzy Sets (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-38893-5_5

zbMATH Keywords

rankingregularizationkernel methodutility functionsemi-supervised learningpreference learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Multiple criteria decision analysis. State of the art surveys. In 2 volumes
• Incremental multi-class semi-supervised clustering regularized by Kalman filtering
• Preference Learning: An Introduction
• Relative importance of criteria: a quantitative approach
• Measurement and preference function modelling
• 10.1162/1532443041827916
• Kernel based partially linear models and nonlinear identification
• Machine Learning: ECML 2003

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