One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Purpose – The purpose of this paper is twofold: to understand how recent developments in systems thinking and social construction can influence understanding of knowledge trans...
Knowledge transfer is one of the key problem areas in knowledge management. This paper focuses on the transfer of knowledge about the software development process. There is an aim...
Per Backlund, Christina Hallenborg, Guomundur Hall...
This paper examines digital government projects at the group level. I argue that knowledge transfer plays a crucial role in the conception and implementation of digital government...
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
In this article, we propose that blog communities can enhance knowledge transfer in organization. They do so by shaping bloggers' group (subordinate) and organizational (supe...
Knowledge transfer has been suggested as a useful approach for solving large Markov Decision Processes. The main idea is to compute a decision-making policy in one environment and...