I argue against trying to solve the problem of clustering objects into disk pages. Instead, I propose that objects be fetched in groups that may be specific to an application or ...
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
—Wireless Sensor Networks provide opportunities even outside their usual application domain of environmental monitoring. In this paper we present a case study on the use of Wirel...
Process checkpointing is a basic mechanism required for providing High Throughput Computing service on distributively owned resources. We present a new process checkpoint and migr...
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...