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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Alexandru V. Asimit, Ioannis Kyriakou, Simone Santoni, Salvatore Scognamiglio, Rui Zhu
التنسيق:	مقال
اللغة:	English
منشور في:	MDPI AG 2022-08-01
سلاسل:	Risks
الموضوعات:	binary robust classification insurance fraud prediction mortgage lending prediction support vector machine
الوصول للمادة أونلاين:	https://www.mdpi.com/2227-9091/10/8/154

الانترنت

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

Robust Classification via Support Vector Machines

الانترنت

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