This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...
We present an algorithm for automatic testing of distributed programs, such as Unix processes with inter-process communication and Web services. Specifically, we assume that a prog...
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
This paper provides an interim report on ongoing data collection and analysis efforts as part of a large-scale study of information technology- focused interagency collaborations ...
Christine B. Williams, M. Lynne Markus, Michael Ty...