Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
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...
— Despite significant efforts to obtain an accurate picture of the Internet’s connectivity structure at the level of individual autonomous systems (ASes), much has remained un...
Ricardo V. Oliveira, Dan Pei, Walter Willinger, Be...
: Optimal synthesis of workflow structures, the formerly undefined problem, has been introduced. Mathematical programming model is presented for determining the cost optimal workfl...
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...