Geometric insights into support vector machine behavior using the KKT conditions

DOI10.1214/21-EJS1902zbMath1493.62414arXiv1704.00767MaRDI QIDQ2074327

Iain Carmichael, James Stephen Marron

Publication date: 9 February 2022

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1704.00767

zbMATH Keywords

cross-validationhigh-dimensional classificationdata piling

Mathematics Subject Classification ID

Multivariate analysis (62H99)

Related Items (2)

Support vector machine and optimal parameter selection for high-dimensional imbalanced data ⋮ Robust support vector machine for high-dimensional imbalanced data

Uses Software

• PMTK
• PRMLT

Cites Work

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• Support Vector Machines
• The maximal data piling direction for discrimination
• A tutorial on ν‐support vector machines
• Clustering high dimension, low sample size data using the maximal data piling distance
• The elements of statistical learning. Data mining, inference, and prediction
• Statistical properties and adaptive tuning of support vector machines
• Bayesian methods for support vector machines: Evidence and predictive class probabilities

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