The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
We present a new definition of the concept of representation for cognitive science that is based on a study of the origin of structures that are used to store memory in evolving sy...
Abstract--Simplifying a combinational circuit while preserving its range has a variety of applications, such as combinational equivalence checking and random simulation. Previous a...
As the line rates standards are changing frequently to provide higher bit rates, the routers design has become very challenging due to the need for new wire-speed router’s netwo...