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.
People usually ask for advices before making decisions, for example, watching movies. It's convenient if user opinions can be automatically aggregated and analyzed. To obtain an exact rating of a movie, sentiment rating can be formulated as a regression problem. Since our goal is only an overall suggestion of worthwhile or not, lexicon-based sentiment classification is used in this paper. To facilitate...
Inductive transfer learning and semi-supervised learning are two different branches of machine learning. The former tries to reuse knowledge in labeled out-of-domain instances while the later attempts to exploit the usefulness of unlabeled in-domain instances. In this paper, we bridge the two branches by pointing out that many semi-supervised learning methods can be extended for inductive transfer...
A new inductive transfer-learning algorithm called NEDRT is presented in this paper in order to improve the classification accuracy of a domain task by using the knowledge learned from labeled data generated from a different domain. NEDRT introduces a novel error function for a constructed neural network by summing a weighted squared difference between the real output and the neural network output...
Traditional intrusion detection systems focus on low-level attacks, and only generate isolated alerts. They canpsilat find logical relations among alerts. In addition, IDSpsilas accuracy is low, a lot of alerts are false alerts. So it is difficult for human users or intrusion response systems to understand the alerts and take appropriate actions. To solve this problem different intrusion scenario...
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.