With the ideas mentioned above, we propose weighted Lq adaptive LS-SVM (WLq-LS-SVM) classifiers, which is a robust and sparse approximation of LS-SVM. This ...
In this paper, we try to solve these two drawbacks and propose a weighted Lq adaptive LS-SVM model (WLq-LS-SVM) classifiers that combines the prior knowledge ...
A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation ... Expert Syst. Appl. 2011. 44 Citations.
A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation ; 刊名, EXPERT SYSTEMS WITH APPLICATIONS ; 出版日期 ...
A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation · Robust Least Squares Projection Twin Support Vector ...
A weighted L q adaptive least squares support vector machine classifiers – Robust and sparse approximation. Article. Mar 2011; EXPERT SYST APPL. Jingli Liu ...
The methods of this paper are illustrated for RBF kernels and demonstrate how to obtain robust estimates with selection of an appropriate number of hidden units ...
Missing: Lq adaptive
A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation. The standard Support Vector Machine (SVM) ...
Liu, A weighted Lq adaptive least squares support vector machine classifiers–Robust and sparse approximation, Expert Systems with Applications, № 38, с.
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A weighted Lq adaptive least squares support vector machine classifiers – Robust and sparse approximation. Expert Systems with Applications 38(3): 2253-2259 ...