DocumentCode
2251878
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
Volume
3
fYear
2010
fDate
11-14 July 2010
Firstpage
1459
Lastpage
1463
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580837
Filename
5580837
Link To Document