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-...
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
As suggested by the title of Shoham, Powers, and Grenager’s position paper [34], the ultimate lens through which the multi-agent learning framework should be assessed is “what...
This paper motivates the fundamental importance of application context for security. It then gives an overview of the PEI framework for application-centric security and outlines s...
This paper presents ongoing research and current results on the development of flexible access control infrastructures for complex resource provisioning in Grid-based collaborativ...
Yuri Demchenko, Leon Gommans, Cees de Laat, Arie T...