Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
Real-time materialized view maintenance has become increasingly popular, especially in real-time data warehousing and data streaming environments. Upon updates to base relations, ...
: The improvement of spectral efficiency comes at the cost of exponential increment of signal processing complexity [1]. Hence, the energy-efficiency of baseband has recently turne...
Min Li, Bruno Bougard, Eduardo Lopez-Estraviz, And...
This paper presents the design and implementation of the Distributed Autonomous Replication Management (DARM) framework built on top of the Spread group communication system. The ...
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...