: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
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...
Enabled by regulatory initiatives and advanced radio technology, more flexible opportunistic spectrum access has great potential to alleviate the spectrum scarcity. In this paper,...
Abstract. The Semantic Web is an effort by the W3C to enable integration and sharing of information across different applications and organizations using annotations by means of on...