Abstract. Binding-time polymorphism enables a highly flexible bindingtime analysis for offline partial evaluation. This work provides the tools to translate this flexibility into...
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zee...
In this paper, we present an approach to hybrid semantic web service matching based on both logic programming, and syntactic similarity measurement. The implemented matchmaker, ca...
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
—Applying nonequilibrium statistical mechanics we focus on nonequilibrium corrections Δs to entropy and energy of the fluid in terms of the nonequilibrium density distribution f...