Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
In this paper, we present the design and simulation of a bandwidth constrained multiple path on-demand routing protocol for ad-hoc networks to support end-to-end Quality of Servic...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...
This study investigated the extent to which the social constructivist approach can be applied to the teaching/learning of translation strategies in an e-learning environment. To a...