We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
Monitoring the performance of large shared computing systems such as the cloud computing infrastructure raises many challenging algorithmic problems. One common problem is to trac...
Chiranjeeb Buragohain, Luca Foschini, Subhash Suri
In this paper, we present an interactive visualization method for set-valued attributes that maintains the advantages of item-oriented views and interactions found in parallel mul...
This paper presents an exploratory study exploring the potential of audio recording as a form of sentimental memory capture. Drawing on data from four family households, we spotli...
We present the in-situ visualization of medical data taken from CT or MRI scans in real-time using a video see-through head mounted display (HMD). One of the challenges to improve ...
Christoph Bichlmeier, Tobias Sielhorst, Sandro Mic...