This paper describes our experience in developing a software system for use in the environmental modeling community. The primary user of this software is intended to be a scientis...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
The current Internet is based on a stateless (datagram) architecture. However, many recent proposals rely on the maintenance of state information within network routers, leading t...
Control intensive scalar programs pose a very different challenge to highly pipelined supercomputers than vectorizable numeric applications. Function call/return and branch instru...