DocumentCode :
401876
Title :
Fuzzy data domain description using support vector machines
Author :
Wei, Li-Li ; Long, Wei-Jiang ; Zhang, Wen-Xiu
Author_Institution :
Inst. of Inf. & Syst. Sci., Xi´´an Jiaotong Univ., China
Volume :
5
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
3082
Abstract :
In this paper, we reformulate the use of a data domain description method, inspired by the fuzzy support vector machine (SVM) by Lin, called the fuzzy data domain description. This data description is suitable for applications in which each input point may not be fully assigned to one class. In this method, different input data can make different contributions to the domain description.
Keywords :
data description; fuzzy set theory; support vector machines; SVM; fuzzy data domain description; fuzzy support vector machine; Application software; Computer science; Error analysis; Fuzzy systems; Machine learning; Mathematics; Support vector machines; Training data; Upper bound; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1260107
Filename :
1260107
Link To Document :
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