We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
The 2002 SIGCOMM Workshop on Educational Challenges for Computer Networking [Kur02a] exposed many issues related to teaching computer networking with the need for a laboratory in ...
Michael Erlinger, Mart Molle, Titus Winters, Chris...