Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
Employing the power of Semantic Grid services into pervasive problem domains such as video analysis would allow for more effective distributed processing. A vast amount of ecologi...
Gayathri Nadarajan, Yun-Heh Chen-Burger, James Mal...
—The trends for pushing more operational intelligence towards network elements to achieve more context-aware and self-managing behavior often requires elements to gather network ...
John Keeney, David Lewis, Declan O'Sullivan, Antoi...
The missing of an appropriate semantics of agent communication languages is one of the most challenging issues of contemporary AI. Although several approaches to this problem exis...
Matthias Nickles, Michael Rovatsos, Gerhard Wei&sz...