Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
— Industrial plants makes a carefully trace of the human intervention on the process. This intervention happens at different points in the history of the facility, since the desi...
Program debugging is one of the most time-consuming parts of the software development cycle. In recent years, automatic debugging has been an active research area in software engi...
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...