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.
This work proposes a practical technique to reduce the evaluation cost of multi-core based systems, when these systems are evaluated with parallel benchmarks. The proposed technique highlights the amount of redundancy in aset of parallel benchmarks and reduces this set to a subset of benchmarks such that: (i) the selected benchmarks are representative or non-redundant - i.e., the series of performance...
This work systematically examines a Clustering Inside Classes (CIC) approach to classification. In CIC, each class is partitioned into subclasses based on cluster analysis. We find that CIC, by extracting local structure and producing compact subclasses, can improve performance of linear classifiers such as SVM and logistic regression. It is compared against a global classifier on four benchmark datasets...
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.