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.
The direct heuristic dynamic programming (HDP) is used to handle the optimal tracking control for the Henon Mapping chaotic system. The fuzzy logic system (FLS) is applied to measure the long-term utility function. Lyapunov analysis approach is utilized to assure the stability of the chaotic system. Results have proven that the tracking error, the adaptation law and the control input of the system...
How to improve the efficiency and performance of job scheduling in grid computing is one of the most important and challenging techniques. This paper tries to give out a novel grid job scheduling model based on agent technology. To make full use of intelligence and adaptability of the agents, dynamic fuzzy knowledge-base and corresponding fuzzy reinforcement learning algorithm are proposed for the...
Semi-supervised learning has become a topic of significant interests recently. In this paper, we are concerned with semi-supervised classification and noise detection. Based on label propagation algorithm, we present an improved label propagation algorithm, which can classify data and detect noise simultaneously. Compared with original label propagation algorithm, by detecting noise and constraining...
In many data mining tasks, there is a large supply of unlabeled data but limited labeled data since it is expensive generated. Therefore, a number of semi-supervised clustering algorithms have been proposed, but few of them are specially designed for multi-type relational data. In this paper, a semi-supervised k-means clustering algorithm for multi-type relational data is proposed, which is based...
The evaluation for Web service is essential to select Web services from many candidates, but current evaluation models evaluate Web service only by common service attributes, which can not meet the requirements of end users. We propose an evaluation model for Web service, which customizes reasonable attributes in different domains as evaluation factors, and computes the weights of evaluation factors...
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.