Extracting motifs from a set of DNA sequences is important in computational biology. Occurrence probability is a common used statistics to evaluate the statistical significance of...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
A schedule of a Petri Net (PN) represents a set of firing sequences that can be infinitely repeated within a bounded state space, regardless of the outcomes of the nondeterminis...
Cong Liu, Alex Kondratyev, Yosinori Watanabe, Albe...
We present and formalize concepts for the structured specification of system behavior based on services. Services are patterns of interaction between reactive components, thus sup...
Markus Herrmannsdoerfer, Sabine Rittmann, Bernhard...
This paper presents a distributed object model MOIDE for solving irregularly structured problems on cluster. The primary appeal of MOIDE is its flexible system structure that is a...