Probabilistic generative ranking method based on multi-support vector domain description

DOI10.1016/J.INS.2013.05.001zbMath1320.68137OpenAlexW2008544020MaRDI QIDQ497582

Kyu-Hwan Jung, Jaewook Lee

Publication date: 24 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.05.001

zbMATH Keywords

classificationinformation retrievalkernel methodsupport vector machineslearning to ranksupport vector domain description

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Active learning using transductive sparse Bayesian regression

Uses Software

• OHSUMED

Cites Work

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• Domain described support vector classifier for multi-classification problems
• Fast support-based clustering method for large-scale problems
• Dynamic pattern denoising method using multi-basin system with kernels
• Authoritative sources in a hyperlinked environment

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