Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
The development of grid algorithms is frequently hampered by limited means to describe topologies and lack of support for the invasive composition of legacy components in order to...
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Pipelined wavefront computations are a ubiquitous class of parallel algorithm used for the solution of a num ber of scientific and engineering applications. This paper investig...
Gihan R. Mudalige, Simon D. Hammond, J. A. Smith, ...