When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
Compile-time scheduling is one approach to extract parallelism which has proved effective when the execution behavior is predictable. Unfortunately, the performance of most priori...
The paper presents a load management mechanism for distributed simulations of multi-agent systems. The mechanism minimises the cost of accessing the shared state in the distribute...
Ton Oguara, Dan Chen, Georgios K. Theodoropoulos, ...
We apply the concept of “games with a purpose” to NPcomplete mapping and scheduling problems in distributed systems and report our experiences. The particular context is a sch...
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...