With the popularity of Service-Oriented Computing, how to construct highly available service-oriented applications is becoming a hot topic in both the research and industry commun...
Lingshuang Shao, Lu Zhang, Tao Xie, Junfeng Zhao, ...
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Overhearing is an approach for monitoring open, distributed, multi-agent systems by listening to the routine communications taking place within them. Previous investigations of ov...
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...