We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
— Rapid advancements in processor and networking technologies have led to the evolution of cluster and grid computing frameworks. These high-performance computing environments ex...
Pradeep Padala, Cyrus Harrison, Nicholas Pelfort, ...
Background: Metagenomic analyses of microbial communities that are comprehensive enough to provide multiple samples of most loci in the genomes of the dominant organism types will...
John M. Eppley, Gene W. Tyson, Wayne M. Getz, Jill...
Mobile Agents have brought around a new way to perform computations and develop distributed application and it is now struggling for a visible position in the area of distributed ...