Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
SCALASCA is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large-scale systems. It offers an incremental performan...
Markus Geimer, Felix Wolf, Brian J. N. Wylie, Erik...
In wireless networks, secure multicast protocols are more difficult to implement efficiently due to the dynamic nature of the multicast group and the scarcity of bandwidth at the ...
Background: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally...
Mali Salmon-Divon, Heidi Dvinge, Kairi Tammoja, Pa...