This paper presents an investigation into local mechanisms and scheduling policies that allow guest processes to efficiently exploit otherwise-idle workstation resources. Unlike t...
Kyung Dong Ryu, Jeffrey K. Hollingsworth, Peter J....
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
The Cognitive Function Analysis is a methodology supportedby a mediating tool for the human-centered automationof safety-critical systems[4]. It is basedon a socio-cognitive model...
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...