The work described in this paper is an investigation of COTS-based software development within a particular NASA environment, with an emphasis on the processes used. Fifteen proje...
Maurizio Morisio, Carolyn B. Seaman, Amy T. Parra,...
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Abstract. In this work we study the theoretical and empirical properties of various global inference algorithms for multi-document summarization. We start by defining a general fr...
This paper discusses the importance of auditory interface aesthetics and presents an empirical investigation of sound aesthetics in context. The theoretical discussion examines th...
Trading decisions in financial markets can be supported by the use of online algorithms. We evaluate the empirical performance of a threat-based online algorithm and compare it to...