Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
: Program slicing is a well known family of techniques used to identify code fragments which depend on or are depended upon specific program entities. They are particularly useful ...
Abstract. We consider the problem of programming distributed embedded real-time systems with distributed dependencies. We show that the de facto standard of using locks and conditi...
Sherif Fadel Fahmy, Binoy Ravindran, E. Douglas Je...
Within the EP-Cache project, the Performance Cockpit has been developed to provide a unified GUI for a series of performance tools. This is achieved through the establishment of a...