Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Analyzing Border Gateway Protocol (BGP) instances is a crucial step in the design and implementation of safe BGP systems. Today, the analysis is a manual and tedious process. Resea...
Anduo Wang, Carolyn L. Talcott, Limin Jia, Boon Th...
This paper proposes an automatic model-based approach that enables adaptive decision making in modern virtual games. It builds upon the Integrated MDP and POMDP Learning AgeNT (IM...
Abstract. In this paper, an integrated approach for the modeling and the validation through simulation of multi-agent systems is proposed. The approach centers on the instantiation...