MOTIVATION Model selection is a fundamental part of the scientific process in systems biology. Given a set of competing hypotheses, we routinely wish to choose the one that best explains the observed data. In the Bayesian framework, models are compared via Bayes factors (the ratio of evidences), where a model's evidence is the support given to the model by the data. A parallel interest is infer...

We study schema integration problems for consolidating historical information from nested relational databases in heterogeneous databases environment. These nested relations are for supporting complex objects. In heterogeneous databases systems, probabilistic partial values have been used to resolve some schema integration problems. In this paper, we extend the concept of probabilistic partial ...

ABSTRACT We establish, in the framework of theory nested figures, expressions for gravitational moments J2n a systems made ${\cal L}$ homogeneous layers separated by spheroidal surfaces and relative rotational motion. then discuss how to solve inverse problem, which consists finding equilibrium configurations (i.e. internal structures) that reproduce ‘exactly’ set observables, namely equatorial...

This article looks at Skilling’s nested sampling from a physical perspective and interprets it as a microcanonical demon algorithm. Using key quantities of statistical physics we investigate the performance of nested sampling on complex systems such as Ising, Potts and protein models. We show that releasing multiple demons helps to smooth the truncated prior and eases sampling from it because t...

Wiberg matrix factorization breaks a matrix Y into low-rank factors U and V by solving for V in closed form given U , linearizing V (U) about U , and iteratively minimizing ||Y − UV (U)||2 with respect to U only. This approach factors the matrix while effectively removing V from the minimization. We generalize the Wiberg approach beyond factorization to minimize an arbitrary function that is no...

In classical machine virtualization, a hypervisor runs multiple operating systems simultaneously, each on its own virtual machine. In nested virtualization, a hypervisor can run multiple other hypervisors with their associated virtual machines. As operating systems gain hypervisor functionality—Microsoft Windows 7 already runs Windows XP in a virtual machine—nested virtualization will become ne...

We consider the solution of a linear system Ax = b on a distributed memory machine when the matrix A is large, sparse and symmetric positive deenite. In a previous paper we developed an algorithm to compute a ll-reducing nested dissection ordering of A on a distributed memory machine. We n o w develop algorithms for the remaining steps of the solution process. The large-grain task parallelism r...