Online learning of multi-class Support Vector Machines

Support Vector Machines (SVMs) are state-of-the-art learning algorithms forclassification problems due to their strong theoretical foundation and their goodperformance in practice. However, their extension from two-class to multi-classclassification problems is not straightforward. While some approa...

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Bibliographic Details
Main Author: Trinh, Xuan Tuan
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för informationsteknologi 2012
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-185084