𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Support vector machine interpretation

✍ Scribed by A. Navia-Vázquez; E. Parrado-Hernández


Book ID
113814540
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
384 KB
Volume
69
Category
Article
ISSN
0925-2312

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## Abstract Finding the best decision boundary for a classification problem involves covariance structures, distance measures, and eigenvectors. This article considers how eigenstructures are an inherent part of the support vector machine (SVM) functional basis that encodes the geometric features o