In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
We develop a simulation model for the ATM ABR service, and use it to engineer ABR congestion control behavior. Although significant work has been performed on ABR rate allocation a...
Sonia Fahmy, Raj Jain, Rohit Goyal and Bobby Vanda...