Some marginal learning algorithms for unsupervised problems

	Some marginal learning algorithms for unsupervised problems
	Tao, Q ; Wu, GW ; Wang, FY ; Wang, J
	2005
发表期刊	INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS
ISSN	0302-9743
卷号	3495 页码:395-401
摘要	In this paper, we investigate one-class and clustering problems by using statistical learning theory. To establish a universal framework, a unsupervised learning problem with predefined threshold eta is formally described and the intuitive margin is introduced. Then, one-class and clustering problems are formulated as two specific eta-unsupervised problems. By defining a specific hypothesis space in eta-one-class problems, the crucial minimal sphere algorithm for regular one-class problems is proved to be a maximum margin algorithm. Furthermore, some new one-class and clustering marginal algorithms can be achieved in terms of different hypothesis spaces. Since the nature in SVMs is employed successfully, the proposed algorithms have robustness, flexibility and high performance. Since the parameters in SVMs are interpretable, our unsupervised learning framework is clear and natural. To verify the reasonability of our formulation, some synthetic and real experiments are conducted. They demonstrate that the proposed framework is not only of theoretical interest, but they also has a legitimate place in the family of practical unsupervised learning techniques.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号	WOS:000230114100034
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10067
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tao, Q
作者单位	1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligenct Informat Proc, Bioinformat Res Grp, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Tao, Q,Wu, GW,Wang, FY,et al. Some marginal learning algorithms for unsupervised problems[J]. INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS,2005,3495:395-401.
APA	Tao, Q,Wu, GW,Wang, FY,&Wang, J.(2005).Some marginal learning algorithms for unsupervised problems.INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS,3495,395-401.
MLA	Tao, Q,et al."Some marginal learning algorithms for unsupervised problems".INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS 3495(2005):395-401.