HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
Abstract. Computing tight performance bounds in feed-forward networks under general assumptions about arrival and server models has turned out to be a challenging problem. Recently...
Synchronous functional languages such as Lustre or Lucid Synchrone define a restricted class of Kahn Process Networks which can be executed with no buffer. Every expression is as...
This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, suc...
This paper describes and analyzes a system architecture that enables consumers to access services and content from multiple providers without jeopardizing the privacy interests of...