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.
There has been much progress from reinforcement learning towards relational reinforcement learning and many new algorithms are now presented. Many of these approaches are upgrades of propositional representations towards the use of relational or computational logic representations. In this paper, we present a novel mathematic structure in which the underlying Markov decision process (MDP) is built...
Misclassiflcation cost is usually unequal for different class. Parameters estimation methods of Bayesian networks such as generative method based on log joint likelihood loss and discriminative method based on log conditional likelihood loss suppose that misclassification cost of every class is equal. Accordingly, this paper develops a cost-sensitive parameters estimation method so that Bayesian networks...
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.