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.
Chinese text classification is always challenging, especially when data are high dimensional and sparse. In this paper, we are interested in the way of text representation and dimension reduction in Chinese text classification. First, we introduces a topic model — Latent Dirichlet Allocation(LDA), which is uses LDA model as a dimension reduction method. Second, we choose Support Vector Machine(SVM)...
AdaBoost is a well-known ensemble learning algorithm that generates weak classifiers sequentially and then combines them into a strong one. Also it shows its resistance to overfitting in low noise data cases , a lot of experiments have shown that it is quite sensitive on noisy data. Several modifications to AdaBoost have been proposed to deal with noisy data. Bagging and Random forests have shown...
Investigate the potential of Random Forests in a multiclass setting and propose a new algorithm based on error-correct-coding (ECC) and loop-symmetrical division. It performs significantly better than the original RF and slightly better than the other two approach that usually used to handle multiclass problem. But our algorithm has lower computation cost which is very important especially in large...
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.