This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
Abstract. We deal with two intimately related subjects: quasi-randomness and regular partitions. The purpose of the concept of quasi-randomness is to measure how much a given graph...
Maximizing the quality index modularity has become one of the primary methods for identifying the clustering structure within a graph. As contemporary networks are not static but e...
— We study wavelength assignment for lightpaths over WDM rings to minimize the SONET ADMs used. This problem has attracted much attention recently. However, its computation compl...
Evaluating a query can involve manipulation of large volumes of temporary data. When the volume of data becomes too great, activities such as joins and sorting must use disk, and ...