We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
Abstract. Requirements engineering is still an area of software engineering in which theory and practice greatly differ. This work presents the results of an empirical study of ar...
Users are being tracked on the Internet more than ever before as Web sites and search engines gather pieces of information sufficient to identify and study their behavior. While m...
Organizations often encounter problems in the Product Integration process. The difficulties include finding errors at integration related to mismatch between the different componen...