DocumentCode
442116
Title
Local information embedding by dimension extension and information risk minimization
Author
Chang, Qun ; Wang, Xuan ; Wang, Xiao-long
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
Volume
7
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
4335
Abstract
Information risks such as information misunderstanding and insufficiencies of metric will affect learning quality. Information risk minimization (IRM) is proposed aiming to solve this problem. Besides, towards IRM, the framework of dimension extension is introduced to make it possible that more local, additional, or prior information can be added into learning course.
Keywords
learning (artificial intelligence); minimisation; risk analysis; dimension extension; information risk minimization; learning; local information embedding; Computer science; Cybernetics; EMP radiation effects; Face recognition; Holography; Machine learning; Manifolds; Probability distribution; Risk management; Rivers; Information risk minimization; dimension extension; local information;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527700
Filename
1527700
Link To Document