DocumentCode
2255609
Title
Some important inequalities and their application on Sugeno measure space
Author
Tian, Jing-feng
Author_Institution
North China Electr. Power Univ. Sci. & Technol. Coll., Baoding, China
Volume
1
fYear
2010
fDate
11-14 July 2010
Firstpage
547
Lastpage
551
Abstract
The problem of estimating functions on the basis of indirect measurements is a universal problem of Statistical Learning Theory. In this paper, some important inequalities on Sugeno measure space are presented and proven, such as Hölder´s inequality, Minkowski inequality, and Jensen´s inequality. Furthermore, a useful theorem about the problem of estimating functions on the basis of indirect measurements on Sugeno measure space is given and proven by using Minkowski inequality and Jensen´s inequality.
Keywords
learning (artificial intelligence); statistical analysis; Holder inequality; Jensen inequality; Minkowski inequality; Sugeno measure space; function estimation; statistical learning theory; Cybernetics; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Mathematical model; Random variables; Statistical learning; Inequality; Statistical Learning Theory; Sugeno measure; The problem of estimating functions;
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.2010.5581003
Filename
5581003
Link To Document