Standards for safety critical software usually either mandate or recommend development and assessment techniques which are deemed appropriate to reduce the risk of flaws in the so...
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
Inverse rendering infers realistic descriptions of illumination and material properties from photographs. However, the applicability of state of the art inverse rendering algorith...
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...