Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Satisfiability algorithms have become one of the most practical and successful approaches for solving a variety of real-world problems, including hardware verification, experime...
This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent h...
Performance prediction methods for component-based software systems aim at supporting design decisions of software architects during early development stages. With the increased a...