Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
: In this article we analyse the notion of knowledge role. First of all, we present how the relationship between problem solving methods and domain models is tackled in different a...
Chantal Reynaud, Nathalie Aussenac-Gilles, Pierre ...
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
In terms of the progress of the industry, the velocity and dynamic nature of the global environment, has caused serious damage and diminished our earth’s resources. A lot of eff...
Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
David B. Kaber, Noa Segall, Rebecca S. Green, K. E...