This paper presents results from experiments, mathematical analysis, and simulations of a network of static and mobile sensors for detecting threats on city streets and in open ar...
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
This paper presents a new challenge—verifying that a remote server is storing a file in a fault-tolerant manner, i.e., such that it can survive hard-drive failures. We describe...
Kevin D. Bowers, Marten van Dijk, Ari Juels, Alina...
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
In recent models of decision-making, cognitive scientists have examined the relationship between option generation and successful performance. These models suggest that those who a...
Paul Ward, Joel Suss, David W. Eccles, A. Mark Wil...