Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
In this paper we describe, a powerful post-synthesis approach called reclocking, for performance improvement by minimizing the total execution time. By back annotating the wire del...
The development of a distributed database systemrequires effective solutions to many complex and interrelated design problems. The cost dependenciesbetween query optimization and ...
The paper addresses the problem of explaining some reasoning tasks associated with the DL-Lite Description Logic. Because of the simplicity of the language, standard concept level ...
Alexander Borgida, Diego Calvanese, Mariano Rodrig...
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynamics of the supply chain environment at an early stage. This paper proposes a me...
Alfonso Sarmiento, Luis Rabelo, Ramamoorthy Lakkoj...