The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
In this paper we present a multi-grained parallel algorithm for computing betweenness centrality, which is extensively used in large-scale network analysis. Our method is based on ...
This paper examines how quality for one type of preventive health care services, screening services are determined under competition and explores its links with the treatment servi...
This paper studies semantic efficiency measures for ambient intelligence. We follow an agent-based approach and investigate how large quantities of information can be efficiently ...
Jurriaan van Diggelen, Robbert-Jan Beun, Rogier M....
The context of a software developer is something hard to define and capture, as it represents a complex network of elements across different dimensions that are not limited to th...