Abstract: One problem faced in knowledge engineering for Bayesian networks (BNs) is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most common ...

Mark Dancer ([email protected]) is an author, distribution futurist, and supply chain activist who is passionate about flourishing business, technology, the future of distribution, and building a ...

Global-scale characterizations of Earth’s lakes and ponds assume their surface areas are power-law distributed across the full size range. However, empirical power-laws only hold across finite ranges ...

This article is concerned with the set-membership state estimation problem for power distribution networks (PDNs) over a resource-constrained communication network under the influence of unknown but ...

SINGAPORE - The exponential rise in national healthcare spending cannot be allowed to cripple Singapore's future, said Health Minister Ong Ye Kung as he laid out the steps being taken to rein in costs ...

Entropy is an uncertainty measure of random variables which mathematically represents the prospective quantity of the information. In this paper, we mainly focus on the estimation for the parameters ...

When editor-in-chief Moshe Vardi asked me to write this piece for Communications, my first reaction was the article could be written in two words: Nevertheless, the computer science landscape has ...