In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
This paper provides an overview of creating games for change from within an academic context, focusing specifically on the development of educational computer games for middle scho...
Through the combined efforts of many dedicated researchers across the globe, the “message” of the value of games for learning is starting to be heard in formal education, but ...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...