Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
We discuss the theory and practical issues behind creating reflection models to show the difficulty of the problem. We survey the current approaches towards reflection models for ...
Peter Shirley, Brian E. Smits, Helen H. Hu, Eric P...
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...
The paper discusses three IST projects focusing on the disclosure of video content via a combination of low-level multimodal feature analysis, abstraction, and browsing tools. The ...
We discuss research issues and models for vulnerabilities and threats in distributed computing systems. We present four diverse approaches to reducing system vulnerabilities and th...