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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260107