This paper describes an algorithm for the efficient solution of large systems of Boolean equations. The algorithm exploits the fact that, in some cases, the composition operation ...
Knowing which associations are compositions is important in a tool for the reverse engineering of UML class diagrams. Firstly, recovery of composition relationships bridges the ga...
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
Compositional performance analysis iteratively alternates local scheduling analysis techniques and output event model propagation between system components to enable performance a...