We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes ar...
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dime...
Steven Reece, Stephen Roberts, Alex Rogers, Nichol...
Soft errors are a growing concern for processor reliability. Recent work has motivated architecture-level studies of soft errors since the architecture can mask many raw errors an...
Xiaodong Li, Sarita V. Adve, Pradip Bose, Jude A. ...
Current video search systems commonly return video shots as results. We believe that users may better relate to longer, semantic video units and propose a retrieval framework for n...
Robin Aly, Aiden R. Doherty, Djoerd Hiemstra, Alan...
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...