This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
One of the central axioms of extreme programming is the disciplined use of regression testing during stepwise software development. Due to recent progress in software model checkin...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
Spatial logics have been used to describe properties of treelike structures (Ambient Logic) and in a Hoare style to reason about dynamic updates of heap-like structures (Separatio...