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.
Normal SVM is not suitable for classification problems on large data sets because of high training complexity. To build a distributed learning framework and apply cooperative learning strategy with multiple SVM classifiers are the good inspirations to data stream mining. In this paper, a SVMs' cooperative learning strategy based on multiple agent system is proposed according to cooperative and distributional...
Support vector machine (SVM) has become a popular classification tool but one of its disadvantages is large memory requirement and computation time when dealing with large datasets. Parallel methods have been proposed to speed up the process of training SVM. An improved cascade SVM training algorithm is proposed, in which multiple SVM classifiers are applied. The support vectors are obtained by feeding...
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.