Title :
Improved support vector data description
Author :
Huang, Gaung-Xin ; Chen, Hua-Fu ; Yin, Feng
Author_Institution :
Key Lab. for Neuroinformation of Minist. of Educ., Univ. of Electron. Sci. & Technol., Chengdu, China
Abstract :
Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.
Keywords :
computer software; set theory; support vector machines; spherically shaped description; support vector data description method; target data set; Cybernetics; Educational institutions; Kernel; Machine learning; Support vector machines; Training; Training data; Hyper-spherically shaped boundary; One-class classification; SVM; Support vector data description;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580837
