Automatic service composition is an active research area in the field of service computing. This paper presents a distributed approach to automatically discover a composition of s...
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly impro...
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
We present two results for computational models that allow error probabilities close to 1/2. First, most computational complexity classes have an analogous class in communication ...