In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
In this paper, we study several TCP fairness issues in wireless local networks, both experimentally and via simulation. We illustrate the unfairness problems caused by the 802.11 ...
- Ontology engineering has been proposed as a formal mechanism for both reducing the complexity of managing the information needed in network management and autonomic systems and f...
The increased complexity, heterogeneity and the dynamism of networked systems and services make current control and management tools to be ineffective in managing and securing suc...