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EDM
2008
127views Data Mining» more  EDM 2008»
15 years 6 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 ...
CVPR
2005
IEEE
16 years 7 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
CVRMED
1997
Springer
15 years 9 months ago
Medical image segmentation using topologically adaptable surfaces
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...
Tim McInerney, Demetri Terzopoulos
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 6 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
CHI
2006
ACM
16 years 5 months ago
Generating automated predictions of behavior strategically adapted to specific performance objectives
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...