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.
With the proliferation of cloud computing, more and more functionally equivalent cloud services with varied quality of service (QoS) have emerged. Service selection for a SaaS (Software as a Service) has become a critical issue in cloud environments, and the transition from single-tenancy to multi-tenancy has made this issue more complicated. Existing approaches suffer from low efficiency in finding...
Cloud-based software applications (Software as a Service - SaaS) for multi-tenant provisioning have become a major development paradigm in Web engineering. Instead of serving a single end-user, a multi-tenant SaaS provides multiple end-users with the same functionality but with potentially different quality-of-service (QoS) values. The service selection for such a SaaS is a complex decision-making...
The service-oriented paradigm offers support for engineering service-based systems (SBSs) based on service compositions. The selection of services with the aim to fulfil the quality constraints for SBSs and to achieve the optimisation goals is a critical and challenging issue. In particular, when the quality-of-service (QoS) constraints for a SBS are severe, it is often difficult to find an optimal...
Active learning is mainly to select a part of unlabelled samples from a big dataset. The selected samples are then submitted to domain experts to label and added to the training set. Suppose that the price of labeling samples is far more than the computational cost of training algorithms, we propose a scheme of active learning based on support vector machines, which follows the traditionally inductive...
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.