We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...
Developing and analyzing schedules is essential for successfully controlling the time aspect of construction projects. The critical path method of scheduling is by far the most wi...
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Existing knowledge on how people use speech-based technologies in realistic settings is limited. We are conducting a longitudinal field study, spanning six months, to investigate ...
Jinjuan Feng, Shaojian Zhu, Ruimin Hu, Andrew Sear...
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...