— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
s of titles and abstracts) as irrelevant to our focus. We read the remaining 519 papers in full to establish our final list. The 92 papers we chose were originally published in the...
Tracy Hall, Helen Sharp, Sarah Beecham, Nathan Bad...
We consider the problem of recovering from failures of distributable threads with assured timeliness. When a node hosting a portion of a distributable thread fails, it causes orph...
Edward Curley, Jonathan Stephen Anderson, Binoy Ra...
Many software projects fail because early life-cycle defects such as ill-defined requirements are not identified and removed. Therefore, quality assurance (QA) techniques for defe...