In this paper, an event-centric commodity trading simulation powered by the multiagent framework is presented. The purpose of this simulation platform is for training novice trade...
: In this paper we propose the use of an argument-based model – ProCLAIM – that has the potential to minimize ecological impact of industrial wastewater discharges into water b...
Interconnected service providers constitute a highly dynamic, complex, distributed environment. Multi-agent system design-methodologies have been trying to address this kind of env...
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...