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EDM
2008
127views Data Mining» more  EDM 2008»
13 years 9 months ago
Adaptive Test Design with a Naive Bayes Framework
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 ...
23
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HICSS
1999
IEEE
133views Biometrics» more  HICSS 1999»
13 years 12 months ago
Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems
This paper presents a judgement and decision making analysis of collaborative problem solving. This analysis is done with respect to the Raven and CoRaven decision-making tools fo...
David C. Wilkins, Patricia M. Jones, Roger Bargar,...
UAI
1994
13 years 9 months ago
Approximation Algorithms for the Loop Cutset Problem
We show how to nd a minimum weight loop cutset in a Bayesian network with high probability. Finding such a loop cutset is the rst step in the method of conditioning for inference....
Ann Becker, Dan Geiger
CVPR
2007
IEEE
14 years 9 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram