Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
In this work we present the computational algorithm that combines perceptual and cognitive information during the visual search for object features. The algorithm is initially driv...
We study greedy routing over n nodes placed in a ring, with the distance between two nodes defined to be the clockwise or the absolute distance between them along the ring. Such ...
Collective operations are an important aspect of the currently most important message-passing programming model MPI (Message Passing Interface). Many MPI applications make heavy u...
Efficient computing the PageRank scores for a large web graph is actually one of the hot issues in Web-IR community. Recent researches propose to accelerate the computation, both ...