A fuzzy support vector classifier based on Bayesian optimization

DOI10.1007/s10700-007-9025-7zbMath1136.90536OpenAlexW1977672798MaRDI QIDQ928184

Zhong-Xian Chi, Yong Zhang

Publication date: 11 June 2008

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-007-9025-7

zbMATH Keywords

Kernel methodSupport vector machineBayesian optimizationSupport vector data description

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Management decision making, including multiple objectives (90B50) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (3)

A bilateral fuzzy support vector machine hybridizing the Gaussian mixture model ⋮ An intuitionistic fuzzy set based \(S^3\)VM model for binary classification with mislabeled information ⋮ On the convergence of some possibilistic clustering algorithms

Cites Work

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• Support vector data description
• Domain described support vector classifier for multi-classification problems
• Estimating the Support of a High-Dimensional Distribution

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