Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Building repositories for e-learning is an iterative process and course content and course structure are always changing. We realized the necessity to separate content from structu...
Hadhami Dhraief, Wolfgang Nejdl, Boris Wolf, Marti...
The CEDARS∗ project within UK academia seeks to develop a demonstrator system to recommend techniques for long-term storage of digital data primarily within the research library...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
We survey some issues that relate to context dependence and context sensitivity in the development of software, particularly in relation to information systems by defining a range...