Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
The production of scientific knowledge has evolved from a process of inquiry largely based on the activities of individual scientists to one grounded in the collaborative efforts ...
Besiki Stvilia, Charles C. Hinnant, Katy Schindler...
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
— In this paper we study two-hop cooperative diversity relaying in random wireless networks. In contrast to most work on cooperative diversity relaying where the relay node posit...
We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that reserved after summarization. Here, a concept refers to an abst...