There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
In this paper, we describe a resource matcher (RM) developed for the on-line resource matching in heterogeneous grid environments. RM is based on the principles of Evolutionary Al...
Vijay K. Naik, Pawel Garbacki, Krishna Kummamuru, ...