We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
The use of redundant computational nodes is a widely used design tactic to improve the reliability of complex embedded systems. However, this redundancy allocation has also an effe...
Abstract. Constraint solving problems (CSPs) represent a formalization of an important class of problems in computer science. We propose here a solving methodology based on the nam...
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
This paper presents a new approach for mapping task graphs to heterogeneous hardware/software computing systems using heuristic search techniques. Two techniques: (1) integration ...