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