Terminological interference occurs in requirements engineering when stakeholders vary in the concepts they use to understand a problem domain, and the terms they use to describe t...
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Different advances have been made in the development of software process improvement (SPI) standards and models, e.g. capability maturity model (CMM), more recently CMMI, and ISO...
Abstract This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The lea...
Adam L. Berger, Rich Caruana, David Cohn, Dayne Fr...
Abstract. We propose a mapping from the Enhanced Entity Relationship conceptual model to the W3C XML Schema Language with the following properties: information and integrity constr...