This paper describes an approach to design error diagnosis and correction in combinational digital circuits. Our approach targets small errors introduced during the design process...
Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Class...
Embedded systems consisting of the application program ROM, RAM, the embedded processor core, and any custom hardware on a single wafer are becoming increasingly common in applicat...
Reference models play an important role in the knowledge management of the various complex collaboration domains (such as Supply Chain Networks). However, they often show a lack o...
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...