The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Recent developments in pervasive computing have enabled new features for collaboration and instrumentation in educational technology systems. An infrastructure for the integration...
Chad Peiper, David Warden, Ellick Chan, Roy H. Cam...
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...