Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Key issues to address in autonomic job recovery for cluster computing are recognizing job failure; understanding the failure sufficiently to know if and how to restart the job; an...
Charles Earl, Emilio Remolina, Jim Ong, John Brown...
We explore the effectiveness of using traces in optimization. We build a trace collection system for the Jikes Research Virtual Machine and create traces based on the execution of...
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
This paper describes the methodology of an intelligent agent for building a self-adaptive course on the Web. An important task, therefore, is to combine adaptability with the lear...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...