This paper studies the scheduling and assignment problem that minimizes the total energy including both dynamic and leakage energy for applications with loops on multi-voltage, mul...
Meikang Qiu, Jiande Wu, Jingtong Hu, Yi He, Edwin ...
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Abstract. Physical agents such as robots are generally constrained in their communication capabilities. In a multi-agent system composed of physical agents, these constraints have ...
Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
Surprisingly enough, there has been few investigations for typing references of semistructured data and XML documents. This paper build on a previous proposal [7] introducing simp...