This paper addresses ways in which theorizing gender may be important in forming an understanding of the topic of emancipation which is central to the new critical information sys...
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
In this study, we draw on network centrality concepts and coordination theory to understand how project team members interact when working towards a common goal. A text-mining app...
Autonomic computing (AC) is an intelligent computing approach that autonomously carries out robotic and interactive applications based on goal- and inference-driven mechanisms. Th...