Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is their performance overhead. Compiling VM bytecode to...
Joel Koshy, Ingwar Wirjawan, Raju Pandey, Yann Ram...
Abstract. This paper summarizes a novel framework, called “physicomimetics,” for the distributed control of large collections of mobile physical agents in sensor networks. The ...
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...