This paper establishes a two-phase model to explore the financial risk of construction project under uncertain construction duration. Treated as a random variable in the model, th...
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
The (decisional) learning with errors problem (LWE) asks to distinguish “noisy” inner products of a secret vector with random vectors from uniform. In recent years, the LWE pro...
Background: The question of how a circle or line segment becomes covered when random arcs are marked off has arisen repeatedly in bioinformatics. The number of uncovered gaps is o...
John Moriarty, Julian R. Marchesi, Anthony Metcalf...
In fast-paced software projects, engineers don’t have the time or the resources to build heavyweight complete descriptions of their software. The best they can do is lightweight ...