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» Learning to Align: A Statistical Approach
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ICML
2006
IEEE
14 years 11 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
ITS
2010
Springer
167views Multimedia» more  ITS 2010»
14 years 3 months ago
Characterizing the Effectiveness of Tutorial Dialogue with Hidden Markov Models
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective ...
Kristy Elizabeth Boyer, Robert Phillips, Amy Ingra...
TSE
2008
91views more  TSE 2008»
13 years 10 months ago
Privately Finding Specifications
Buggy software is a reality and automated techniques for discovering bugs are highly desirable. A specification describes the correct behavior of a program. For example, a file mus...
Westley Weimer, Nina Mishra
BMCBI
2008
185views more  BMCBI 2008»
13 years 11 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
CVPR
2009
IEEE
14 years 5 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...