With the advent of Grid Computing, scheduling strategies for distributed heterogeneous systems have either become irrelevant or have to be extended significantly to support Grid d...
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
Abstract. In this paper, we constructed the Distributed Object Group Framework(DOGF) which is a reconfigurable architecture supporting dynamically adaptation of distributed service...