The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Recursive concave-convex Fisher Linear Discriminant (RPFLD) is a novel efficient dimension reduction method and has been successfully applied to image recognition. However, RPFLD suffers from singularity problem and may lose some useful discriminant information when applied to high-dimensional data. Moreover, RPFLD is computationally expensive because it has to solve a series of quadratic programming...
Twin support vector regression (TSVR) was proposed recently as a novel regressor that tries to find a pair of nonparallel planes, i.e. ε-insensitive up- and down-bound, by solving two related SVM-type problems. Though TSVR exhibits good performance compared with conventional methods like SVR, it suffers from several issues. In this paper, we propose a novel regression algorithm called Robust and Sparse...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.