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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527700
