In the environment of wide-area networks such as the Internet, distributed query processing becomes problematic due to the changing coming from both underlying networks and user...
We study the problem of exploiting parallelism from search-based AI systems on distributed machines. We propose stack-splitting, a technique for implementing orparallelism, which ...
Collective operations on multiple distributed objects are a powerful means to coordinate parallel computations. In this paper we present an inheritance based approach to implement ...
Distributed execution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance f...
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...