Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
In this article, we revisit the problem of scheduling dynamically generated directed acyclic graphs (DAGs) of multi-processor tasks (M-tasks). A DAG is a basic model for expressin...
— As semiconductor processing techniques continue to scale down, transient faults, also known as soft errors, are increasingly becoming a reliability threat to high-performance m...
Performance evaluation and reliability prediction are two important factors in the study of multiprocessor and cluster interconnects. One such interconnect is the Scalable Coheren...