Information distance is used to measure how similar sensorimotor experience is to past experience within a certain temporal horizon. Applied to groups of sensors this gives a mathe...
Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin...
When defining an object-oriented extension to VHDL, the necessary message passing is one of the most complex issues and has a large impact on the whole language. This paper identi...
The increasing number of knowledge-based systems that build on a Bayesian belief network or influence diagram acknowledge the usefulness of these frameworks for addressing complex...
Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
Early generation software product line (SPL) methodologies tended to be large, complex, and offer many options and choices, making adoption in practice difficult to comprehend, ju...