Multi-class Bayesian support vector data description with anomalies

DOI10.1007/S10479-021-04364-XOpenAlexW3212118111MaRDI QIDQ2095204

Mehmet Turkoz, Sangahn Kim

Publication date: 9 November 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-04364-x

zbMATH Keywords

Bayesian statisticsanomaly detectionsupport vector data descriptionmulti-class

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Theory of data (68Pxx) Multivariate analysis (62Hxx)

Uses Software

• PRTools

Cites Work

• Unnamed Item
• Unnamed Item
• Two-class support vector data description
• Support vector data description
• A boundary method for outlier detection based on support vector domain description
• A survey of outlier detection methodologies
• Low resolution face recognition based on support vector data description
• Improving support vector data description using local density degree
• Estimating the Support of a High-Dimensional Distribution
• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution

This page was built for publication: Multi-class Bayesian support vector data description with anomalies