Robust Classification via Support Vector Machines

Robust Classification via Support Vector Machines

Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature. This paper aims to construct robust <i>support vector machine</i> classifiers under featu...

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Bibliographic Details
Main Authors: Alexandru V. Asimit, Ioannis Kyriakou, Simone Santoni, Salvatore Scognamiglio, Rui Zhu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Risks
Subjects:
binary robust classification
insurance fraud prediction
mortgage lending prediction
support vector machine
Online Access:https://www.mdpi.com/2227-9091/10/8/154

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https://www.mdpi.com/2227-9091/10/8/154

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