Correntropy-based metric for robust twin support vector machine
• Propose a robust distance metric based on correntropy. • A robust twin SVM is built with the proposed metric. • The metric satisfies the conditions of distance metric. • Demonstrate important properties for the metric. • Experiments show the robustness of the proposed method.
Gespeichert in:
| Autor*in: |
Yuan, Chao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Umfang: |
20 |
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| Übergeordnetes Werk: |
Enthalten in: Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study - Petrruzziello, Carmelina ELSEVIER, 2013, an international journal, New York, NY |
|---|---|
| Übergeordnetes Werk: |
volume:545 ; year:2021 ; day:4 ; month:02 ; pages:82-101 ; extent:20 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ins.2020.07.068 |
|---|
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ELV052135225 |
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| 520 | |a • Propose a robust distance metric based on correntropy. • A robust twin SVM is built with the proposed metric. • The metric satisfies the conditions of distance metric. • Demonstrate important properties for the metric. • Experiments show the robustness of the proposed method. | ||
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• Propose a robust distance metric based on correntropy. • A robust twin SVM is built with the proposed metric. • The metric satisfies the conditions of distance metric. • Demonstrate important properties for the metric. • Experiments show the robustness of the proposed method. |
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• Propose a robust distance metric based on correntropy. • A robust twin SVM is built with the proposed metric. • The metric satisfies the conditions of distance metric. • Demonstrate important properties for the metric. • Experiments show the robustness of the proposed method. |
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• Propose a robust distance metric based on correntropy. • A robust twin SVM is built with the proposed metric. • The metric satisfies the conditions of distance metric. • Demonstrate important properties for the metric. • Experiments show the robustness of the proposed method. |
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