scholarly journals Importance measure analysis with epistemic uncertainty and its moving least squares solution

2013 ◽  
Vol 66 (4) ◽  
pp. 460-471 ◽  
Author(s):  
Pan Wang ◽  
Zhenzhou Lu ◽  
Zhangchun Tang
Keyword(s):  
Least Squares ◽  
Epistemic Uncertainty ◽  
Moving Least Squares ◽  
Importance Measure ◽  
Least Squares Solution ◽  
Measure Analysis

A Novel Sparse Weighted Least Squares Support Vector Classifier

2013 ◽  
Vol 842 ◽  
pp. 746-749
Author(s):  
Bo Yang ◽  
Liang Zhang
Keyword(s):  
Least Squares ◽  
Weighted Least Squares ◽  
Importance Measure ◽  
Support Vector ◽  
Comparative Experiment ◽  
Digit Recognition ◽  
Calculating Method ◽  
Imbalance Problem ◽  
Support Vector Classifier

A novel sparse weighted LSSVM classifier is proposed in this paper, which is based on Suykens weighted LSSVM. Unlike Suykens weighted LSSVM, the proposed weighted method is more suitable for classification. The distance between sample and classification border is used as the sample importance measure in our weighted method. Based on this importance measure, a new weight calculating function, using which can adjust the sparseness of weight, is designed. In order to solve the imbalance problem, a kind of normalization weights calculating method is proposed. Finally, the proposed method is used on digit recognition. Comparative experiment results show that the proposed sparse weighted LSSVM can improve the recognition correct rate effectively.

Modelling the characteristics of turbocompressors for fuel cell systems using hybrid method based on moving least squares

2009 ◽  
Vol 86 (7-8) ◽  
pp. 1283-1289 ◽  
Author(s):  
R. Tirnovan ◽  
S. Giurgea ◽  
A. Miraoui ◽  
M. Cirrincione
Keyword(s):  
Fuel Cell ◽  
Least Squares ◽  
Hybrid Method ◽  
Moving Least Squares ◽  
Cell Systems
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