People often use software for mundane tasks and expect it to be dependable enough for their needs. Unfortunately, the incomplete and imprecise specifications of such everyday sof...
Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip K...
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
stractions from Proofs Ranjit Jhala1 Kenneth L. McMillan2 1 UC San Diego 2 Cadence Berkeley Laboratories We present a technique for using infeasible program paths to automatically ...
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...