Support Vector Machine for Classification Based on Fuzzy Training Data

Support vector machines (SVMs) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training examples are non-fuzzy input and output is y=plusmn1;. In this paper, we introduce the support vector machine in which...

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Veröffentlicht in:	Proceedings (International Conference on Machine Learning and Cybernetics.) S. 1609 - 1614
Hauptverfasser:	Ai-Bing Ji, Jia-Hong Pang, Shu-Huan Li, Jian-Ping Sun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2006
Schlagworte:	Educational institutions Electronic mail fuzzy chance constraint programming fuzzy linear separable example fuzzy training examples Linear programming Machine learning Pattern recognition possibility measure Quadratic programming Sun Support vector machine Support vector machine classification Support vector machines Training data
ISBN:	1424400619, 9781424400614
ISSN:	2160-133X
Online-Zugang:	Volltext
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