Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on conge...
Acyclic partitioning on combinational boolean networks has wide range of applications, from multiple FPGA chip partitioning to parallel circuit simulation. In this paper, we prese...
In this paper, we propose the coordinated robust routing (CRR) scheme to address the fault tolerance requirements in the layered wireless sensor networks. In the proposed scheme, ...
Mei Yang, Jianping Wang, Zhen-guo Gao, Yingtao Jia...
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...