A new robust model of one-class classification by interval-valued training data using the triangular kernel

DOI10.1016/j.neunet.2015.05.004zbMath1394.68316OpenAlexW627449696WikidataQ30975498 ScholiaQ30975498MaRDI QIDQ1669149

Lev V. Utkin, Anatoly I. Chekh

Publication date: 30 August 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.05.004

zbMATH Keywords

linear programmingextreme pointskernelinterval-valued datasupport vector machineone-class classificationnovelty detectionminimax strategy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels ⋮ Robust and distributionally robust optimization models for linear support vector machine ⋮ Distance-based linear discriminant analysis for interval-valued data

Uses Software

• UCI-ml

Cites Work

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• 10.1162/15324430260185574
• DISCRIMINANT ANALYSIS OF MULTI-DIMENSIONAL INTERVAL DATA AND ITS APPLICATION TO CHEMICAL SENSING
• Kernel-Based Algorithms and Visualization for Interval Data Mining

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