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.
When performing classification tasks on problems stemming from the real-world phenomena, issues requiring attention often arise due to the specific nature of the data. One common problem is the imbalance of datasets, the resolving of which is performed through several different approaches suggested in the literature. These approaches require the knowledge regarding data distribution and complexity...
Building classification models often presents a significant problem that requires the selection of a classifier and a corresponding training approach. Radial basis function networks are a frequent choice among the classifiers for which a large spectre of training approaches exist. In that regard, an important role is played by bio-inspired methods, and differential evolution, as an representative...
Software development today is riddled with various challenges, and hangs on the balance of cost and profit. The industry is yearning for shorter times to market without any reduction in quality. Since component based software engineering emerged as a prominent and solid approach to alleviate these challenges, the question remains are there any benefits of employing this paradigm in other areas, excluding...
The feature selection problem often occurs in pattern recognition and, more specifically, classification. Although these patterns could contain a large number of features, some of them could prove to be irrelevant, redundant or even detrimental to classification accuracy. Thus, it is important to remove these kinds of features, which in turn leads to problem dimensionality reduction and could eventually...
Although cloud computing applies the self-acting principles from autonomic computing, it's possible to achieve even greater synergy. In this paper definitions of basic terms concerning cloud computing and autonomic computing are given. A new model is presented which incorporates autonomic principles into cloud computing, and that model is later viewed from the aspect of its application to e-health...
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.