We describe a new program termination analysis designed to handle imperative programs whose termination depends on the mutation rogram's heap. We first describe how an abstrac...
Josh Berdine, Byron Cook, Dino Distefano, Peter W....
Abstract. We give a novel general approach for solving NP-hard optimization problems that combines dynamic programming and fast matrix multiplication. The technique is based on red...
In this paper we will present a formal framework, based on the notion of extraction calculus, which has been successfully applied to define procedures for extracting information fr...
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Embedded systems commonly execute one program for their lifetime. Designing embedded system architectures with configurable components, such that those components can be tuned to t...