The performance of statistically based techniques for many tasks such as spelling correction, sense disambiguation, and translation is improved if one can estimate a probability for an object of interest which has not been seen before. Good-Turing methods are one means of estimating these probabilities for previously unseen objects. However, the use of Good-Turing methods requires a smoothing step which must smooth in regions of vastly different accuracy. Such smoothers are difficult to use… Expand

A large-scale telemetry project that gathered file reports from 20.7 million machines that ran the Windows Upgrade Advisor over a period of 13 months gives a unique insight into file prevalence across a web-scale population.Expand

This chapter discusses Bayesian Assessment of Assumptions, which investigates the effect of non-Normality on Inferences about a Population Mean with Generalizations in the context of a Bayesian inference model.Expand