Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Since embedded systems require ever more compute power, SMT processors are viable candidates for future high performance embedded processors. However, SMTs exhibit unpredictable pe...
Francisco J. Cazorla, Peter M. W. Knijnenburg, Riz...
Abstract. The success of a case-based reasoning system depends critically on the relevance of the case base. Much current CBR research focuses on how to compact and refine the con...
Abstract. In this paper, we introduce the concept of rule-based visualization for a computational steering collaboratory and show how these rules can be used to steer the behaviors...
Lian Jiang, Hua Liu, Manish Parashar, Deborah Silv...
This paper1 is based on and advocates the trend in software engineering of extending the use of software patterns as means of structuring solutions to software development problems...