Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Microservers are networked embedded devices that accept user tasks on demand and execute them on real world information collected by sensors. Sharing intermediate sensing and comp...
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combini...
The automatic conversion of free text into a medical ontology can allow computational access to important information currently locked within clinical notes and patient reports. T...