Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
Virtual memory has been successfully used in different domains to extend the amount of memory available to applications. We have adapted this mechanism to sensor networks, where,...
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...
Malicious code is an increasingly important problem that threatens the security of computer systems. The traditional line of defense against malware is composed of malware detecto...