In this paper, we improve and extend the MaSE methodology to bridge the gaps in this methodology. First, we propose an improvement process and, based on this process, we report th...
Shiva Vafadar, Ahmad Abdollahzadeh Barfouroush, Mo...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...
Limiting capabilities of practical recognition systems are determined by a variety of factors that include source encoding techniques, quality of images, complexity of underlying ...
Meta-modeling is well known to define the basic concepts of domain-specific languages in an object-oriented way. Based on graph transformation, an abstract meta-model may be enhanc...