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An application of support vector machines and symmetry to computational modeling of perception through visual attention

โœ Scribed by Hamid Eghbalnia; Amir Assadi


Book ID
114296001
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
242 KB
Volume
38-40
Category
Article
ISSN
0925-2312

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โœ Diederich, Joachim ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English โš– 666 KB

Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost โ€“ an inherent inability to explain in a compre