Practical experience indicates that the definition of realworld workflow applications is a complex and error-prone process. Existing workflow management systems provide the means,...
Christos T. Karamanolis, Dimitra Giannakopoulou, J...
Traditional, standards-based approaches to certification are hugely expensive, of questionable credibility when development is outsourced, and a barrier to innovation. This paper ...
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
In this paper, we describe block matrix algorithms for the iterative solution of large scale linear-quadratic optimal control problems arising from the optimal control of parabolic...
Tarek P. Mathew, Marcus Sarkis, Christian E. Schae...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...