Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with huge data sets. Stxxl is an implementation of the C++ standard template library ST...
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
Knowledge acquisition (KA) plays an important role in building knowledge based systems (KBS). However, evaluating different KA techniques has been difficult because of the costs...
Abstract. Symbolic reachability analysis provides a basis for the verification of software systems by offering algorithmic support for the exploration of the program state space ...
We present a technique to approximate the worst-case execution time that combines structural analysis with a loop-bounding algorithm based on local induction variable analysis. St...